{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Making footprint scenarios using Python\n",
    "\n",
    "Author: <a href=\"mailto:a.owen@leeds.ac.uk\"> Dr Anne Owen </a> \n",
    "\n",
    "Before we start, paste the following code into the box below:\n",
    "\n",
    "```python\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import copy\n",
    "pd.options.display.precision = 2\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import copy\n",
    "pd.options.display.precision = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this tutorial we are going to use a real world multiregional input-output database: The World Input Output Database (WIOD).\n",
    "\n",
    "A first version of the World Input-Output Database was constructed within the official WIOD Project, funded by the European Commision as part of the 7th Framework Programme, Theme 8: Socio-Economic Sciences and Humanities. This project ran from May 2009 and ended in April 2012. The database was offically launched on April 16, 2012 in Brussels.\n",
    "\n",
    "A second, updated version of WIOD was launched in 2016. This is the version we will be using but I have aggregated some of the countries together to make it faster to run. \n",
    "\n",
    "The modified WIOD contains 28 countries, an aggregated rest of EU region and an aggregated Rest of World region for the period 2000-2014. Data for 56 sectors are classified according to the International Standard Industrial Classification revision 4 (ISIC Rev. 4).\n",
    "\n",
    "## Exercise 1.1 Make the total footprint function\n",
    "\n",
    "Copy this function into the box below:\n",
    "\n",
    "```python\n",
    "def total_footprint_calc(Z,Y,y_region,f):   \n",
    "    x = np.sum(Z,1) + np.sum(Y,1)\n",
    "    x[x==0] = 0.000000001\n",
    "    big_X = np.tile(np.transpose(x),[30*56,1])\n",
    "    A = Z/big_X \n",
    "    L = np.linalg.inv(np.identity(30*56)-A)\n",
    "    e = f/x \n",
    "    eL = np.dot(e,L)\n",
    "    footprint_by_region = np.dot(eL,y_region)\n",
    "\n",
    "    return footprint_by_region\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def total_footprint_calc(Z,Y,y_region,f):   \n",
    "    x = np.sum(Z,1) + np.sum(Y,1)\n",
    "    x[x==0] = 0.000000001\n",
    "    big_X = np.tile(np.transpose(x),[30*56,1])\n",
    "    A = Z/big_X \n",
    "    L = np.linalg.inv(np.identity(30*56)-A)\n",
    "    e = f/x \n",
    "    eL = np.dot(e,L)\n",
    "    footprint_by_region = np.sum(np.sum(np.dot(eL,y_region),0),0)\n",
    "\n",
    "    return footprint_by_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should notice there are few differences to the function you worked with in the previous exercise.\n",
    "\n",
    "We have a new line:\n",
    "\n",
    "```python\n",
    "x[x==0] = 0.000000001\n",
    "```\n",
    "\n",
    "In WIOD, there are a few sectors in some countries where output is zero. The country has no industry of that type in its economy. So, when we calculate ```A```, we would be dividing by zero which would cause an error.\n",
    "\n",
    "What we are doing with this line of code is replacing any zeros with a tiny number so that we don't get errors.\n",
    "\n",
    "Also notice that when we tile ```x``` to make ```big_X``` we repeat it ```30*56``` times. $30$ x $56$ is $1680$. The Z matrix in WIOD has $1680$ rows and columns. And we know this because WIOD has $30$ regions each with $56$ sectors.\n",
    "\n",
    "When we calculate ```footprint_by_region``` we sum the array. This is to ensure that we get a float type result, rather than an array. We are doing this because we are going to use this later on."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1.2: Load the data\n",
    "\n",
    "WIOD has data for 14 years. We need to think about how to store this. We have worked with 2D DataFrames but for each of our variables, we are going to need a DataFrame for each year.\n",
    "\n",
    "In python we can make something called a dictionary which is a collection of DataFrames. We can then specify which year we are interest in by writing ```Z[2000]``` for example.\n",
    "\n",
    "Before we can load the data we must set up some empty dictionaries. Write:\n",
    "\n",
    "```python\n",
    "Z = {}\n",
    "Y = {}\n",
    "f = {}\n",
    "fhh = {}\n",
    "```\n",
    "\n",
    "You should have an idea what ```Z```, ```Y``` and ```f``` contain. We'll cover ```fhh``` later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "Z = {}\n",
    "Y = {}\n",
    "f = {}\n",
    "fhh = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each individual year of data for each of ```Z```, ```Y``` and ```f``` is contained in a csv file.\n",
    "\n",
    "The country name and sector names are found in the first column and row of the ```Z``` files.\n",
    "\n",
    "The country names are found in the first row of the ```Y``` files and the country name and sector names are found in the first column of the ```Y``` files.\n",
    "\n",
    "The country name and sector names are found in the first row of the ```f``` files.\n",
    "\n",
    "Try the following code:\n",
    "\n",
    "```python\n",
    "for yr in range (2000,2015):\n",
    "    print(yr)\n",
    "    Z[yr] = pd.read_csv('WIODv2016_data/z_' +str(yr)+ '.csv', header=0,index_col=0)\n",
    "    Y[yr] = pd.read_csv('WIODv2016_data/y_' +str(yr)+ '.csv', header=0,index_col=0)\n",
    "    f[yr] = np.transpose(pd.read_csv('WIODv2016_data/f_' +str(yr)+ '.csv', header=0,index_col=0))\n",
    "    fhh[yr] = pd.read_csv('WIODv2016_data/fhh_' +str(yr)+ '.csv', header=0,index_col=0)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2000\n",
      "2001\n",
      "2002\n",
      "2003\n",
      "2004\n",
      "2005\n",
      "2006\n",
      "2007\n",
      "2008\n",
      "2009\n",
      "2010\n",
      "2011\n",
      "2012\n",
      "2013\n",
      "2014\n"
     ]
    }
   ],
   "source": [
    "for yr in range (2000,2015):\n",
    "    print(yr)\n",
    "    Z[yr] = pd.read_csv('WIODv2016_data/z_' +str(yr)+ '.csv', header=0,index_col=0)\n",
    "    Y[yr] = pd.read_csv('WIODv2016_data/y_' +str(yr)+ '.csv', header=0,index_col=0)\n",
    "    f[yr] = np.transpose(pd.read_csv('WIODv2016_data/f_' +str(yr)+ '.csv', header=0,index_col=0))\n",
    "    fhh[yr] = pd.read_csv('WIODv2016_data/fhh_' +str(yr)+ '.csv', header=0,index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a closer look at what it is doing.\n",
    "\n",
    "First, it makes a 'for-loop' which cycles through the years 2000 to 2016 (remember in Python, when you specify a range, the end is always the number after you want to stop!)\n",
    "\n",
    "This loop is creating a variable called ```year```\n",
    "\n",
    "The second line of code prints the year. This is an entirely unnessessary peice of code but I put it in here to demonstrate what ```year``` is and to let you know that something was happening. If the line was not there it would not be obvious that anything had happened!\n",
    "\n",
    "Now, imagine we are in our first loop. ```year = 2000```. The next line is therefore going to place something in a dataframe called ```Z[2000]``` and the data it is loading in is in the file ```2000_Z.csv```\n",
    "\n",
    "Notice how the code updates the name of the file from the variable year on each loop?\n",
    "\n",
    "Try having a look at the data by selecting:\n",
    "\n",
    "```python\n",
    "pd.set_option('display.max_columns', 100)\n",
    "display(Z[2000])\n",
    "```\n",
    "Note that we have forced python to show more columns than usual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th>AUT Crop and animal production, hunting and related service activities</th>\n",
       "      <th>AUT Forestry and logging</th>\n",
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       "      <th>AUT Mining and quarrying</th>\n",
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       "      <th>AUT Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials</th>\n",
       "      <th>AUT Manufacture of paper and paper products</th>\n",
       "      <th>AUT Printing and reproduction of recorded media</th>\n",
       "      <th>AUT Manufacture of coke and refined petroleum products</th>\n",
       "      <th>AUT Manufacture of chemicals and chemical products</th>\n",
       "      <th>AUT Manufacture of basic pharmaceutical products and pharmaceutical preparations</th>\n",
       "      <th>AUT Manufacture of rubber and plastic products</th>\n",
       "      <th>AUT Manufacture of other non-metallic mineral products</th>\n",
       "      <th>AUT Manufacture of basic metals</th>\n",
       "      <th>AUT Manufacture of fabricated metal products, except machinery and equipment</th>\n",
       "      <th>AUT Manufacture of computer, electronic and optical products</th>\n",
       "      <th>AUT Manufacture of electrical equipment</th>\n",
       "      <th>AUT Manufacture of machinery and equipment n.e.c.</th>\n",
       "      <th>AUT Manufacture of motor vehicles, trailers and semi-trailers</th>\n",
       "      <th>AUT Manufacture of other transport equipment</th>\n",
       "      <th>AUT Manufacture of furniture; other manufacturing</th>\n",
       "      <th>AUT Repair and installation of machinery and equipment</th>\n",
       "      <th>AUT Electricity, gas, steam and air conditioning supply</th>\n",
       "      <th>AUT Water collection, treatment and supply</th>\n",
       "      <th>AUT Sewerage; waste collection, treatment and disposal activities; materials recovery; remediation activities and other waste management services</th>\n",
       "      <th>AUT Construction</th>\n",
       "      <th>AUT Wholesale and retail trade and repair of motor vehicles and motorcycles</th>\n",
       "      <th>AUT Wholesale trade, except of motor vehicles and motorcycles</th>\n",
       "      <th>AUT Retail trade, except of motor vehicles and motorcycles</th>\n",
       "      <th>AUT Land transport and transport via pipelines</th>\n",
       "      <th>AUT Water transport</th>\n",
       "      <th>AUT Air transport</th>\n",
       "      <th>AUT Warehousing and support activities for transportation</th>\n",
       "      <th>AUT Postal and courier activities</th>\n",
       "      <th>AUT Accommodation and food service activities</th>\n",
       "      <th>AUT Publishing activities</th>\n",
       "      <th>AUT Motion picture, video and television programme production, sound recording and music publishing activities; programming and broadcasting activities</th>\n",
       "      <th>AUT Telecommunications</th>\n",
       "      <th>AUT Computer programming, consultancy and related activities; information service activities</th>\n",
       "      <th>AUT Financial service activities, except insurance and pension funding</th>\n",
       "      <th>AUT Insurance, reinsurance and pension funding, except compulsory social security</th>\n",
       "      <th>AUT Activities auxiliary to financial services and insurance activities</th>\n",
       "      <th>AUT Real estate activities</th>\n",
       "      <th>AUT Legal and accounting activities; activities of head offices; management consultancy activities</th>\n",
       "      <th>AUT Architectural and engineering activities; technical testing and analysis</th>\n",
       "      <th>AUT Scientific research and development</th>\n",
       "      <th>AUT Advertising and market research</th>\n",
       "      <th>AUT Other professional, scientific and technical activities; veterinary activities</th>\n",
       "      <th>AUT Administrative and support service activities</th>\n",
       "      <th>...</th>\n",
       "      <th>RoW Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials</th>\n",
       "      <th>RoW Manufacture of paper and paper products</th>\n",
       "      <th>RoW Printing and reproduction of recorded media</th>\n",
       "      <th>RoW Manufacture of coke and refined petroleum products</th>\n",
       "      <th>RoW Manufacture of chemicals and chemical products</th>\n",
       "      <th>RoW Manufacture of basic pharmaceutical products and pharmaceutical preparations</th>\n",
       "      <th>RoW Manufacture of rubber and plastic products</th>\n",
       "      <th>RoW Manufacture of other non-metallic mineral products</th>\n",
       "      <th>RoW Manufacture of basic metals</th>\n",
       "      <th>RoW Manufacture of fabricated metal products, except machinery and equipment</th>\n",
       "      <th>RoW Manufacture of computer, electronic and optical products</th>\n",
       "      <th>RoW Manufacture of electrical equipment</th>\n",
       "      <th>RoW Manufacture of machinery and equipment n.e.c.</th>\n",
       "      <th>RoW Manufacture of motor vehicles, trailers and semi-trailers</th>\n",
       "      <th>RoW Manufacture of other transport equipment</th>\n",
       "      <th>RoW Manufacture of furniture; other manufacturing</th>\n",
       "      <th>RoW Repair and installation of machinery and equipment</th>\n",
       "      <th>RoW Electricity, gas, steam and air conditioning supply</th>\n",
       "      <th>RoW Water collection, treatment and supply</th>\n",
       "      <th>RoW Sewerage; waste collection, treatment and disposal activities; materials recovery; remediation activities and other waste management services</th>\n",
       "      <th>RoW Construction</th>\n",
       "      <th>RoW Wholesale and retail trade and repair of motor vehicles and motorcycles</th>\n",
       "      <th>RoW Wholesale trade, except of motor vehicles and motorcycles</th>\n",
       "      <th>RoW Retail trade, except of motor vehicles and motorcycles</th>\n",
       "      <th>RoW Land transport and transport via pipelines</th>\n",
       "      <th>RoW Water transport</th>\n",
       "      <th>RoW Air transport</th>\n",
       "      <th>RoW Warehousing and support activities for transportation</th>\n",
       "      <th>RoW Postal and courier activities</th>\n",
       "      <th>RoW Accommodation and food service activities</th>\n",
       "      <th>RoW Publishing activities</th>\n",
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       "      <th>RoW Telecommunications</th>\n",
       "      <th>RoW Computer programming, consultancy and related activities; information service activities</th>\n",
       "      <th>RoW Financial service activities, except insurance and pension funding</th>\n",
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       "      <th>RoW Architectural and engineering activities; technical testing and analysis</th>\n",
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       "      <th>RoW Administrative and support service activities</th>\n",
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       "      <th>RoW Activities of extraterritorial organizations and bodies</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUT Crop and animal production, hunting and related service activities</th>\n",
       "      <td>5876.8</td>\n",
       "      <td>187.1</td>\n",
       "      <td>65.1</td>\n",
       "      <td>24.5</td>\n",
       "      <td>9979.5</td>\n",
       "      <td>249.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>71.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>34.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.9</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>6.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>168.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>153.9</td>\n",
       "      <td>368.4</td>\n",
       "      <td>11.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>14.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>535.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>42.3</td>\n",
       "      <td>13.3</td>\n",
       "      <td>8.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>100.7</td>\n",
       "      <td>34.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>118.8</td>\n",
       "      <td>...</td>\n",
       "      <td>1.4</td>\n",
       "      <td>6.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>14.4</td>\n",
       "      <td>14.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>72.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.5</td>\n",
       "      <td>4.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUT Forestry and logging</th>\n",
       "      <td>78.1</td>\n",
       "      <td>41.4</td>\n",
       "      <td>0.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.1</td>\n",
       "      <td>809.9</td>\n",
       "      <td>155.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.4</td>\n",
       "      <td>85.9</td>\n",
       "      <td>14.2</td>\n",
       "      <td>19.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>17.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUT Fishing and aquaculture</th>\n",
       "      <td>10.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>254.7</td>\n",
       "      <td>19.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>73.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>280.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUT Mining and quarrying</th>\n",
       "      <td>14.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>996.3</td>\n",
       "      <td>38.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.3</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4690.4</td>\n",
       "      <td>130.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>200.4</td>\n",
       "      <td>5511.1</td>\n",
       "      <td>13.5</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.9</td>\n",
       "      <td>9.2</td>\n",
       "      <td>10.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>493.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>118.9</td>\n",
       "      <td>5.4</td>\n",
       "      <td>412.6</td>\n",
       "      <td>33.1</td>\n",
       "      <td>45.9</td>\n",
       "      <td>0.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>28.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.1</td>\n",
       "      <td>20.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.9</td>\n",
       "      <td>5.7</td>\n",
       "      <td>30.3</td>\n",
       "      <td>72.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.6</td>\n",
       "      <td>...</td>\n",
       "      <td>11.6</td>\n",
       "      <td>16.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2339.1</td>\n",
       "      <td>763.1</td>\n",
       "      <td>8.3</td>\n",
       "      <td>18.8</td>\n",
       "      <td>343.3</td>\n",
       "      <td>977.9</td>\n",
       "      <td>65.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>26.8</td>\n",
       "      <td>46.0</td>\n",
       "      <td>14.9</td>\n",
       "      <td>3.4</td>\n",
       "      <td>18.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2544.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>29.8</td>\n",
       "      <td>380.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>17.1</td>\n",
       "      <td>4.3</td>\n",
       "      <td>56.6</td>\n",
       "      <td>11.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>18.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.3</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.8</td>\n",
       "      <td>49.4</td>\n",
       "      <td>14.7</td>\n",
       "      <td>40.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUT Manufacture of food products, beverages and tobacco products</th>\n",
       "      <td>820.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>45.9</td>\n",
       "      <td>45.8</td>\n",
       "      <td>4809.6</td>\n",
       "      <td>159.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>8.9</td>\n",
       "      <td>6.6</td>\n",
       "      <td>12.4</td>\n",
       "      <td>137.9</td>\n",
       "      <td>63.4</td>\n",
       "      <td>33.9</td>\n",
       "      <td>9.5</td>\n",
       "      <td>18.2</td>\n",
       "      <td>15.7</td>\n",
       "      <td>9.3</td>\n",
       "      <td>5.9</td>\n",
       "      <td>13.6</td>\n",
       "      <td>30.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>12.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>103.4</td>\n",
       "      <td>41.0</td>\n",
       "      <td>327.7</td>\n",
       "      <td>1617.4</td>\n",
       "      <td>19.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>9.8</td>\n",
       "      <td>17.7</td>\n",
       "      <td>10.1</td>\n",
       "      <td>4422.2</td>\n",
       "      <td>11.3</td>\n",
       "      <td>24.8</td>\n",
       "      <td>55.4</td>\n",
       "      <td>46.0</td>\n",
       "      <td>23.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>46.7</td>\n",
       "      <td>105.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.3</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.9</td>\n",
       "      <td>18.3</td>\n",
       "      <td>7.9</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>234.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>4.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.6</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW Education</th>\n",
       "      <td>2.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>3.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1.3</td>\n",
       "      <td>3.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.5</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>7.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>29.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>11.8</td>\n",
       "      <td>12.0</td>\n",
       "      <td>75.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.1</td>\n",
       "      <td>...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>22.3</td>\n",
       "      <td>10.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>65.9</td>\n",
       "      <td>27.2</td>\n",
       "      <td>32.6</td>\n",
       "      <td>38.5</td>\n",
       "      <td>45.8</td>\n",
       "      <td>46.2</td>\n",
       "      <td>39.5</td>\n",
       "      <td>29.1</td>\n",
       "      <td>65.6</td>\n",
       "      <td>49.8</td>\n",
       "      <td>9.2</td>\n",
       "      <td>18.9</td>\n",
       "      <td>0.1</td>\n",
       "      <td>174.9</td>\n",
       "      <td>33.1</td>\n",
       "      <td>112.3</td>\n",
       "      <td>137.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>257.2</td>\n",
       "      <td>81.8</td>\n",
       "      <td>237.0</td>\n",
       "      <td>24.8</td>\n",
       "      <td>26.1</td>\n",
       "      <td>45.7</td>\n",
       "      <td>23.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.1</td>\n",
       "      <td>30.1</td>\n",
       "      <td>78.4</td>\n",
       "      <td>215.2</td>\n",
       "      <td>48.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>38.3</td>\n",
       "      <td>173.7</td>\n",
       "      <td>99.0</td>\n",
       "      <td>34.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>101.3</td>\n",
       "      <td>450.3</td>\n",
       "      <td>288.9</td>\n",
       "      <td>161.2</td>\n",
       "      <td>119.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW Human health and social work activities</th>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3.8</td>\n",
       "      <td>12.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.9</td>\n",
       "      <td>25.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>56.1</td>\n",
       "      <td>43.1</td>\n",
       "      <td>10.4</td>\n",
       "      <td>33.9</td>\n",
       "      <td>103.3</td>\n",
       "      <td>33.2</td>\n",
       "      <td>43.7</td>\n",
       "      <td>10.0</td>\n",
       "      <td>85.3</td>\n",
       "      <td>31.5</td>\n",
       "      <td>33.6</td>\n",
       "      <td>17.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>180.6</td>\n",
       "      <td>86.2</td>\n",
       "      <td>15.1</td>\n",
       "      <td>38.8</td>\n",
       "      <td>16.1</td>\n",
       "      <td>218.0</td>\n",
       "      <td>17.4</td>\n",
       "      <td>16.4</td>\n",
       "      <td>10.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>18.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>13.6</td>\n",
       "      <td>145.3</td>\n",
       "      <td>12.3</td>\n",
       "      <td>112.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>15.5</td>\n",
       "      <td>11.6</td>\n",
       "      <td>36.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.5</td>\n",
       "      <td>11.5</td>\n",
       "      <td>201.2</td>\n",
       "      <td>221.7</td>\n",
       "      <td>1791.2</td>\n",
       "      <td>118.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW Other service activities</th>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>...</td>\n",
       "      <td>132.7</td>\n",
       "      <td>174.7</td>\n",
       "      <td>160.5</td>\n",
       "      <td>234.9</td>\n",
       "      <td>1073.1</td>\n",
       "      <td>329.4</td>\n",
       "      <td>481.8</td>\n",
       "      <td>570.4</td>\n",
       "      <td>1062.6</td>\n",
       "      <td>537.6</td>\n",
       "      <td>612.2</td>\n",
       "      <td>597.7</td>\n",
       "      <td>667.2</td>\n",
       "      <td>229.5</td>\n",
       "      <td>134.7</td>\n",
       "      <td>315.1</td>\n",
       "      <td>84.1</td>\n",
       "      <td>3606.6</td>\n",
       "      <td>344.3</td>\n",
       "      <td>1711.3</td>\n",
       "      <td>458.9</td>\n",
       "      <td>41.8</td>\n",
       "      <td>4911.0</td>\n",
       "      <td>1276.7</td>\n",
       "      <td>505.8</td>\n",
       "      <td>97.1</td>\n",
       "      <td>138.6</td>\n",
       "      <td>223.0</td>\n",
       "      <td>111.3</td>\n",
       "      <td>777.7</td>\n",
       "      <td>16.5</td>\n",
       "      <td>394.2</td>\n",
       "      <td>1226.8</td>\n",
       "      <td>222.6</td>\n",
       "      <td>871.4</td>\n",
       "      <td>119.9</td>\n",
       "      <td>17.8</td>\n",
       "      <td>268.3</td>\n",
       "      <td>927.1</td>\n",
       "      <td>131.0</td>\n",
       "      <td>122.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>139.2</td>\n",
       "      <td>332.9</td>\n",
       "      <td>1310.4</td>\n",
       "      <td>1596.1</td>\n",
       "      <td>1063.5</td>\n",
       "      <td>5957.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW Activities of extraterritorial organizations and bodies</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1680 rows × 1680 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    AUT Crop and animal production, hunting and related service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                             5876.8                        \n",
       "AUT Forestry and logging                                                                         78.1                        \n",
       "AUT Fishing and aquaculture                                                                      10.9                        \n",
       "AUT Mining and quarrying                                                                         14.2                        \n",
       "AUT Manufacture of food products, beverages and...                                              820.5                        \n",
       "...                                                                                               ...                        \n",
       "RoW Education                                                                                     2.7                        \n",
       "RoW Human health and social work activities                                                       0.2                        \n",
       "RoW Other service activities                                                                      0.5                        \n",
       "RoW Activities of households as employers; undi...                                                0.0                        \n",
       "RoW Activities of extraterritorial organization...                                                0.0                        \n",
       "\n",
       "                                                    AUT Forestry and logging  \\\n",
       "AUT Crop and animal production, hunting and rel...                     187.1   \n",
       "AUT Forestry and logging                                                41.4   \n",
       "AUT Fishing and aquaculture                                              0.0   \n",
       "AUT Mining and quarrying                                                 0.2   \n",
       "AUT Manufacture of food products, beverages and...                       7.0   \n",
       "...                                                                      ...   \n",
       "RoW Education                                                            0.1   \n",
       "RoW Human health and social work activities                              0.1   \n",
       "RoW Other service activities                                             0.0   \n",
       "RoW Activities of households as employers; undi...                       0.0   \n",
       "RoW Activities of extraterritorial organization...                       0.0   \n",
       "\n",
       "                                                    AUT Fishing and aquaculture  \\\n",
       "AUT Crop and animal production, hunting and rel...                         65.1   \n",
       "AUT Forestry and logging                                                    0.9   \n",
       "AUT Fishing and aquaculture                                                 8.4   \n",
       "AUT Mining and quarrying                                                    0.2   \n",
       "AUT Manufacture of food products, beverages and...                         45.9   \n",
       "...                                                                         ...   \n",
       "RoW Education                                                               0.4   \n",
       "RoW Human health and social work activities                                 0.2   \n",
       "RoW Other service activities                                                0.0   \n",
       "RoW Activities of households as employers; undi...                          0.0   \n",
       "RoW Activities of extraterritorial organization...                          0.0   \n",
       "\n",
       "                                                    AUT Mining and quarrying  \\\n",
       "AUT Crop and animal production, hunting and rel...                      24.5   \n",
       "AUT Forestry and logging                                                 3.6   \n",
       "AUT Fishing and aquaculture                                              0.6   \n",
       "AUT Mining and quarrying                                               996.3   \n",
       "AUT Manufacture of food products, beverages and...                      45.8   \n",
       "...                                                                      ...   \n",
       "RoW Education                                                           11.0   \n",
       "RoW Human health and social work activities                              0.2   \n",
       "RoW Other service activities                                             0.6   \n",
       "RoW Activities of households as employers; undi...                       0.0   \n",
       "RoW Activities of extraterritorial organization...                       0.0   \n",
       "\n",
       "                                                    AUT Manufacture of food products, beverages and tobacco products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                             9979.5                  \n",
       "AUT Forestry and logging                                                                          0.8                  \n",
       "AUT Fishing and aquaculture                                                                     254.7                  \n",
       "AUT Mining and quarrying                                                                         38.9                  \n",
       "AUT Manufacture of food products, beverages and...                                             4809.6                  \n",
       "...                                                                                               ...                  \n",
       "RoW Education                                                                                    12.8                  \n",
       "RoW Human health and social work activities                                                       2.1                  \n",
       "RoW Other service activities                                                                      1.4                  \n",
       "RoW Activities of households as employers; undi...                                                0.0                  \n",
       "RoW Activities of extraterritorial organization...                                                0.0                  \n",
       "\n",
       "                                                    AUT Manufacture of textiles, wearing apparel and leather products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                              249.4                   \n",
       "AUT Forestry and logging                                                                          0.1                   \n",
       "AUT Fishing and aquaculture                                                                      19.7                   \n",
       "AUT Mining and quarrying                                                                          2.4                   \n",
       "AUT Manufacture of food products, beverages and...                                              159.0                   \n",
       "...                                                                                               ...                   \n",
       "RoW Education                                                                                     4.2                   \n",
       "RoW Human health and social work activities                                                       3.0                   \n",
       "RoW Other service activities                                                                      0.1                   \n",
       "RoW Activities of households as employers; undi...                                                0.0                   \n",
       "RoW Activities of extraterritorial organization...                                                0.0                   \n",
       "\n",
       "                                                    AUT Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                2.1                                                                                     \n",
       "AUT Forestry and logging                                                                        809.9                                                                                     \n",
       "AUT Fishing and aquaculture                                                                       0.1                                                                                     \n",
       "AUT Mining and quarrying                                                                          4.3                                                                                     \n",
       "AUT Manufacture of food products, beverages and...                                                7.4                                                                                     \n",
       "...                                                                                               ...                                                                                     \n",
       "RoW Education                                                                                     1.3                                                                                     \n",
       "RoW Human health and social work activities                                                       1.4                                                                                     \n",
       "RoW Other service activities                                                                      0.1                                                                                     \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                     \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                     \n",
       "\n",
       "                                                    AUT Manufacture of paper and paper products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                          1.3   \n",
       "AUT Forestry and logging                                                                  155.7   \n",
       "AUT Fishing and aquaculture                                                                 0.1   \n",
       "AUT Mining and quarrying                                                                    6.6   \n",
       "AUT Manufacture of food products, beverages and...                                          8.9   \n",
       "...                                                                                         ...   \n",
       "RoW Education                                                                               2.1   \n",
       "RoW Human health and social work activities                                                 0.9   \n",
       "RoW Other service activities                                                                0.1   \n",
       "RoW Activities of households as employers; undi...                                          0.0   \n",
       "RoW Activities of extraterritorial organization...                                          0.0   \n",
       "\n",
       "                                                    AUT Printing and reproduction of recorded media  \\\n",
       "AUT Crop and animal production, hunting and rel...                                              1.0   \n",
       "AUT Forestry and logging                                                                        2.2   \n",
       "AUT Fishing and aquaculture                                                                     0.1   \n",
       "AUT Mining and quarrying                                                                        2.4   \n",
       "AUT Manufacture of food products, beverages and...                                              6.6   \n",
       "...                                                                                             ...   \n",
       "RoW Education                                                                                   2.0   \n",
       "RoW Human health and social work activities                                                     1.0   \n",
       "RoW Other service activities                                                                    0.1   \n",
       "RoW Activities of households as employers; undi...                                              0.0   \n",
       "RoW Activities of extraterritorial organization...                                              0.0   \n",
       "\n",
       "                                                    AUT Manufacture of coke and refined petroleum products   \\\n",
       "AUT Crop and animal production, hunting and rel...                                                2.5         \n",
       "AUT Forestry and logging                                                                          2.4         \n",
       "AUT Fishing and aquaculture                                                                       0.4         \n",
       "AUT Mining and quarrying                                                                       4690.4         \n",
       "AUT Manufacture of food products, beverages and...                                               12.4         \n",
       "...                                                                                               ...         \n",
       "RoW Education                                                                                     6.0         \n",
       "RoW Human health and social work activities                                                       0.3         \n",
       "RoW Other service activities                                                                      0.6         \n",
       "RoW Activities of households as employers; undi...                                                0.0         \n",
       "RoW Activities of extraterritorial organization...                                                0.0         \n",
       "\n",
       "                                                    AUT Manufacture of chemicals and chemical products   \\\n",
       "AUT Crop and animal production, hunting and rel...                                               71.8     \n",
       "AUT Forestry and logging                                                                         85.9     \n",
       "AUT Fishing and aquaculture                                                                       0.2     \n",
       "AUT Mining and quarrying                                                                        130.8     \n",
       "AUT Manufacture of food products, beverages and...                                              137.9     \n",
       "...                                                                                               ...     \n",
       "RoW Education                                                                                     5.0     \n",
       "RoW Human health and social work activities                                                       3.8     \n",
       "RoW Other service activities                                                                      0.3     \n",
       "RoW Activities of households as employers; undi...                                                0.0     \n",
       "RoW Activities of extraterritorial organization...                                                0.0     \n",
       "\n",
       "                                                    AUT Manufacture of basic pharmaceutical products and pharmaceutical preparations  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                5.9                                  \n",
       "AUT Forestry and logging                                                                         14.2                                  \n",
       "AUT Fishing and aquaculture                                                                       0.2                                  \n",
       "AUT Mining and quarrying                                                                          5.1                                  \n",
       "AUT Manufacture of food products, beverages and...                                               63.4                                  \n",
       "...                                                                                               ...                                  \n",
       "RoW Education                                                                                     1.8                                  \n",
       "RoW Human health and social work activities                                                      12.3                                  \n",
       "RoW Other service activities                                                                      0.1                                  \n",
       "RoW Activities of households as employers; undi...                                                0.0                                  \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                  \n",
       "\n",
       "                                                    AUT Manufacture of rubber and plastic products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                            34.2   \n",
       "AUT Forestry and logging                                                                      19.2   \n",
       "AUT Fishing and aquaculture                                                                    0.2   \n",
       "AUT Mining and quarrying                                                                       3.9   \n",
       "AUT Manufacture of food products, beverages and...                                            33.9   \n",
       "...                                                                                            ...   \n",
       "RoW Education                                                                                  3.9   \n",
       "RoW Human health and social work activities                                                    1.1   \n",
       "RoW Other service activities                                                                   0.1   \n",
       "RoW Activities of households as employers; undi...                                             0.0   \n",
       "RoW Activities of extraterritorial organization...                                             0.0   \n",
       "\n",
       "                                                    AUT Manufacture of other non-metallic mineral products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                3.0        \n",
       "AUT Forestry and logging                                                                          0.3        \n",
       "AUT Fishing and aquaculture                                                                       0.2        \n",
       "AUT Mining and quarrying                                                                        200.4        \n",
       "AUT Manufacture of food products, beverages and...                                                9.5        \n",
       "...                                                                                               ...        \n",
       "RoW Education                                                                                     5.0        \n",
       "RoW Human health and social work activities                                                       0.2        \n",
       "RoW Other service activities                                                                      0.2        \n",
       "RoW Activities of households as employers; undi...                                                0.0        \n",
       "RoW Activities of extraterritorial organization...                                                0.0        \n",
       "\n",
       "                                                    AUT Manufacture of basic metals  \\\n",
       "AUT Crop and animal production, hunting and rel...                              8.3   \n",
       "AUT Forestry and logging                                                        2.9   \n",
       "AUT Fishing and aquaculture                                                     0.3   \n",
       "AUT Mining and quarrying                                                     5511.1   \n",
       "AUT Manufacture of food products, beverages and...                             18.2   \n",
       "...                                                                             ...   \n",
       "RoW Education                                                                   5.6   \n",
       "RoW Human health and social work activities                                     0.2   \n",
       "RoW Other service activities                                                    0.2   \n",
       "RoW Activities of households as employers; undi...                              0.0   \n",
       "RoW Activities of extraterritorial organization...                              0.0   \n",
       "\n",
       "                                                    AUT Manufacture of fabricated metal products, except machinery and equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                3.5                              \n",
       "AUT Forestry and logging                                                                          0.5                              \n",
       "AUT Fishing and aquaculture                                                                       0.2                              \n",
       "AUT Mining and quarrying                                                                         13.5                              \n",
       "AUT Manufacture of food products, beverages and...                                               15.7                              \n",
       "...                                                                                               ...                              \n",
       "RoW Education                                                                                     3.9                              \n",
       "RoW Human health and social work activities                                                       0.2                              \n",
       "RoW Other service activities                                                                      0.3                              \n",
       "RoW Activities of households as employers; undi...                                                0.0                              \n",
       "RoW Activities of extraterritorial organization...                                                0.0                              \n",
       "\n",
       "                                                    AUT Manufacture of computer, electronic and optical products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                1.2              \n",
       "AUT Forestry and logging                                                                          0.2              \n",
       "AUT Fishing and aquaculture                                                                       0.1              \n",
       "AUT Mining and quarrying                                                                          3.7              \n",
       "AUT Manufacture of food products, beverages and...                                                9.3              \n",
       "...                                                                                               ...              \n",
       "RoW Education                                                                                     2.7              \n",
       "RoW Human health and social work activities                                                       0.2              \n",
       "RoW Other service activities                                                                      0.1              \n",
       "RoW Activities of households as employers; undi...                                                0.0              \n",
       "RoW Activities of extraterritorial organization...                                                0.0              \n",
       "\n",
       "                                                    AUT Manufacture of electrical equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                      0.6   \n",
       "AUT Forestry and logging                                                                0.1   \n",
       "AUT Fishing and aquaculture                                                             0.1   \n",
       "AUT Mining and quarrying                                                                5.9   \n",
       "AUT Manufacture of food products, beverages and...                                      5.9   \n",
       "...                                                                                     ...   \n",
       "RoW Education                                                                           1.3   \n",
       "RoW Human health and social work activities                                             0.1   \n",
       "RoW Other service activities                                                            0.0   \n",
       "RoW Activities of households as employers; undi...                                      0.0   \n",
       "RoW Activities of extraterritorial organization...                                      0.0   \n",
       "\n",
       "                                                    AUT Manufacture of machinery and equipment n.e.c.  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                1.1   \n",
       "AUT Forestry and logging                                                                          0.2   \n",
       "AUT Fishing and aquaculture                                                                       0.1   \n",
       "AUT Mining and quarrying                                                                          9.2   \n",
       "AUT Manufacture of food products, beverages and...                                               13.6   \n",
       "...                                                                                               ...   \n",
       "RoW Education                                                                                     3.2   \n",
       "RoW Human health and social work activities                                                       0.2   \n",
       "RoW Other service activities                                                                      0.1   \n",
       "RoW Activities of households as employers; undi...                                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                                0.0   \n",
       "\n",
       "                                                    AUT Manufacture of motor vehicles, trailers and semi-trailers  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                3.2               \n",
       "AUT Forestry and logging                                                                          0.7               \n",
       "AUT Fishing and aquaculture                                                                       0.4               \n",
       "AUT Mining and quarrying                                                                         10.2               \n",
       "AUT Manufacture of food products, beverages and...                                               30.0               \n",
       "...                                                                                               ...               \n",
       "RoW Education                                                                                     7.0               \n",
       "RoW Human health and social work activities                                                       0.4               \n",
       "RoW Other service activities                                                                      0.3               \n",
       "RoW Activities of households as employers; undi...                                                0.0               \n",
       "RoW Activities of extraterritorial organization...                                                0.0               \n",
       "\n",
       "                                                    AUT Manufacture of other transport equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                           0.9   \n",
       "AUT Forestry and logging                                                                     0.1   \n",
       "AUT Fishing and aquaculture                                                                  0.1   \n",
       "AUT Mining and quarrying                                                                     2.8   \n",
       "AUT Manufacture of food products, beverages and...                                          10.4   \n",
       "...                                                                                          ...   \n",
       "RoW Education                                                                                0.5   \n",
       "RoW Human health and social work activities                                                  0.1   \n",
       "RoW Other service activities                                                                 0.1   \n",
       "RoW Activities of households as employers; undi...                                           0.0   \n",
       "RoW Activities of extraterritorial organization...                                           0.0   \n",
       "\n",
       "                                                    AUT Manufacture of furniture; other manufacturing  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                3.4   \n",
       "AUT Forestry and logging                                                                         17.4   \n",
       "AUT Fishing and aquaculture                                                                       2.9   \n",
       "AUT Mining and quarrying                                                                          2.3   \n",
       "AUT Manufacture of food products, beverages and...                                               12.1   \n",
       "...                                                                                               ...   \n",
       "RoW Education                                                                                     0.4   \n",
       "RoW Human health and social work activities                                                       0.1   \n",
       "RoW Other service activities                                                                      0.1   \n",
       "RoW Activities of households as employers; undi...                                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                                0.0   \n",
       "\n",
       "                                                    AUT Repair and installation of machinery and equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0        \n",
       "AUT Forestry and logging                                                                          0.0        \n",
       "AUT Fishing and aquaculture                                                                       0.0        \n",
       "AUT Mining and quarrying                                                                          0.0        \n",
       "AUT Manufacture of food products, beverages and...                                                0.0        \n",
       "...                                                                                               ...        \n",
       "RoW Education                                                                                     0.0        \n",
       "RoW Human health and social work activities                                                       0.0        \n",
       "RoW Other service activities                                                                      0.0        \n",
       "RoW Activities of households as employers; undi...                                                0.0        \n",
       "RoW Activities of extraterritorial organization...                                                0.0        \n",
       "\n",
       "                                                    AUT Electricity, gas, steam and air conditioning supply  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                5.1         \n",
       "AUT Forestry and logging                                                                          0.7         \n",
       "AUT Fishing and aquaculture                                                                       0.3         \n",
       "AUT Mining and quarrying                                                                        493.1         \n",
       "AUT Manufacture of food products, beverages and...                                               11.4         \n",
       "...                                                                                               ...         \n",
       "RoW Education                                                                                    14.2         \n",
       "RoW Human health and social work activities                                                       0.3         \n",
       "RoW Other service activities                                                                      0.4         \n",
       "RoW Activities of households as employers; undi...                                                0.0         \n",
       "RoW Activities of extraterritorial organization...                                                0.0         \n",
       "\n",
       "                                                    AUT Water collection, treatment and supply  \\\n",
       "AUT Crop and animal production, hunting and rel...                                         6.4   \n",
       "AUT Forestry and logging                                                                   0.2   \n",
       "AUT Fishing and aquaculture                                                                0.1   \n",
       "AUT Mining and quarrying                                                                   7.0   \n",
       "AUT Manufacture of food products, beverages and...                                        15.3   \n",
       "...                                                                                        ...   \n",
       "RoW Education                                                                              3.4   \n",
       "RoW Human health and social work activities                                                0.4   \n",
       "RoW Other service activities                                                               0.1   \n",
       "RoW Activities of households as employers; undi...                                         0.0   \n",
       "RoW Activities of extraterritorial organization...                                         0.0   \n",
       "\n",
       "                                                    AUT Sewerage; waste collection, treatment and disposal activities; materials recovery; remediation activities and other waste management services   \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1                                                                                                    \n",
       "AUT Forestry and logging                                                                          0.0                                                                                                    \n",
       "AUT Fishing and aquaculture                                                                       0.0                                                                                                    \n",
       "AUT Mining and quarrying                                                                          0.1                                                                                                    \n",
       "AUT Manufacture of food products, beverages and...                                                3.6                                                                                                    \n",
       "...                                                                                               ...                                                                                                    \n",
       "RoW Education                                                                                     1.0                                                                                                    \n",
       "RoW Human health and social work activities                                                       0.0                                                                                                    \n",
       "RoW Other service activities                                                                      0.0                                                                                                    \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                                    \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                                    \n",
       "\n",
       "                                                    AUT Construction  \\\n",
       "AUT Crop and animal production, hunting and rel...             168.5   \n",
       "AUT Forestry and logging                                        24.2   \n",
       "AUT Fishing and aquaculture                                      3.2   \n",
       "AUT Mining and quarrying                                       118.9   \n",
       "AUT Manufacture of food products, beverages and...             103.4   \n",
       "...                                                              ...   \n",
       "RoW Education                                                    9.4   \n",
       "RoW Human health and social work activities                      0.8   \n",
       "RoW Other service activities                                     0.5   \n",
       "RoW Activities of households as employers; undi...               0.2   \n",
       "RoW Activities of extraterritorial organization...               0.0   \n",
       "\n",
       "                                                    AUT Wholesale and retail trade and repair of motor vehicles and motorcycles  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                3.5                             \n",
       "AUT Forestry and logging                                                                          0.3                             \n",
       "AUT Fishing and aquaculture                                                                       0.2                             \n",
       "AUT Mining and quarrying                                                                          5.4                             \n",
       "AUT Manufacture of food products, beverages and...                                               41.0                             \n",
       "...                                                                                               ...                             \n",
       "RoW Education                                                                                     8.8                             \n",
       "RoW Human health and social work activities                                                       2.1                             \n",
       "RoW Other service activities                                                                      0.1                             \n",
       "RoW Activities of households as employers; undi...                                                0.0                             \n",
       "RoW Activities of extraterritorial organization...                                                0.0                             \n",
       "\n",
       "                                                    AUT Wholesale trade, except of motor vehicles and motorcycles  \\\n",
       "AUT Crop and animal production, hunting and rel...                                              153.9               \n",
       "AUT Forestry and logging                                                                          4.3               \n",
       "AUT Fishing and aquaculture                                                                       7.0               \n",
       "AUT Mining and quarrying                                                                        412.6               \n",
       "AUT Manufacture of food products, beverages and...                                              327.7               \n",
       "...                                                                                               ...               \n",
       "RoW Education                                                                                     8.5               \n",
       "RoW Human health and social work activities                                                       1.3               \n",
       "RoW Other service activities                                                                      1.8               \n",
       "RoW Activities of households as employers; undi...                                                0.0               \n",
       "RoW Activities of extraterritorial organization...                                                0.0               \n",
       "\n",
       "                                                    AUT Retail trade, except of motor vehicles and motorcycles  \\\n",
       "AUT Crop and animal production, hunting and rel...                                              368.4            \n",
       "AUT Forestry and logging                                                                          2.7            \n",
       "AUT Fishing and aquaculture                                                                      73.8            \n",
       "AUT Mining and quarrying                                                                         33.1            \n",
       "AUT Manufacture of food products, beverages and...                                             1617.4            \n",
       "...                                                                                               ...            \n",
       "RoW Education                                                                                     5.9            \n",
       "RoW Human health and social work activities                                                       1.4            \n",
       "RoW Other service activities                                                                      0.8            \n",
       "RoW Activities of households as employers; undi...                                                0.0            \n",
       "RoW Activities of extraterritorial organization...                                                0.0            \n",
       "\n",
       "                                                    AUT Land transport and transport via pipelines  \\\n",
       "AUT Crop and animal production, hunting and rel...                                            11.7   \n",
       "AUT Forestry and logging                                                                       2.4   \n",
       "AUT Fishing and aquaculture                                                                    0.3   \n",
       "AUT Mining and quarrying                                                                      45.9   \n",
       "AUT Manufacture of food products, beverages and...                                            19.4   \n",
       "...                                                                                            ...   \n",
       "RoW Education                                                                                  5.4   \n",
       "RoW Human health and social work activities                                                    0.1   \n",
       "RoW Other service activities                                                                   0.3   \n",
       "RoW Activities of households as employers; undi...                                             0.0   \n",
       "RoW Activities of extraterritorial organization...                                             0.0   \n",
       "\n",
       "                                                    AUT Water transport  \\\n",
       "AUT Crop and animal production, hunting and rel...                  0.7   \n",
       "AUT Forestry and logging                                            0.0   \n",
       "AUT Fishing and aquaculture                                         0.0   \n",
       "AUT Mining and quarrying                                            0.6   \n",
       "AUT Manufacture of food products, beverages and...                  1.4   \n",
       "...                                                                 ...   \n",
       "RoW Education                                                       0.3   \n",
       "RoW Human health and social work activities                         0.1   \n",
       "RoW Other service activities                                        0.0   \n",
       "RoW Activities of households as employers; undi...                  0.0   \n",
       "RoW Activities of extraterritorial organization...                  0.0   \n",
       "\n",
       "                                                    AUT Air transport  \\\n",
       "AUT Crop and animal production, hunting and rel...                3.2   \n",
       "AUT Forestry and logging                                          0.9   \n",
       "AUT Fishing and aquaculture                                       0.5   \n",
       "AUT Mining and quarrying                                          3.0   \n",
       "AUT Manufacture of food products, beverages and...                9.8   \n",
       "...                                                               ...   \n",
       "RoW Education                                                     1.7   \n",
       "RoW Human health and social work activities                       0.0   \n",
       "RoW Other service activities                                      0.2   \n",
       "RoW Activities of households as employers; undi...                0.0   \n",
       "RoW Activities of extraterritorial organization...                0.0   \n",
       "\n",
       "                                                    AUT Warehousing and support activities for transportation  \\\n",
       "AUT Crop and animal production, hunting and rel...                                               14.7           \n",
       "AUT Forestry and logging                                                                          2.1           \n",
       "AUT Fishing and aquaculture                                                                       1.1           \n",
       "AUT Mining and quarrying                                                                         11.9           \n",
       "AUT Manufacture of food products, beverages and...                                               17.7           \n",
       "...                                                                                               ...           \n",
       "RoW Education                                                                                    16.0           \n",
       "RoW Human health and social work activities                                                       1.7           \n",
       "RoW Other service activities                                                                      0.6           \n",
       "RoW Activities of households as employers; undi...                                                0.0           \n",
       "RoW Activities of extraterritorial organization...                                                0.0           \n",
       "\n",
       "                                                    AUT Postal and courier activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                1.9   \n",
       "AUT Forestry and logging                                                          0.2   \n",
       "AUT Fishing and aquaculture                                                       0.1   \n",
       "AUT Mining and quarrying                                                          1.8   \n",
       "AUT Manufacture of food products, beverages and...                               10.1   \n",
       "...                                                                               ...   \n",
       "RoW Education                                                                     0.8   \n",
       "RoW Human health and social work activities                                       1.7   \n",
       "RoW Other service activities                                                      0.1   \n",
       "RoW Activities of households as employers; undi...                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                0.0   \n",
       "\n",
       "                                                    AUT Accommodation and food service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                          535.8   \n",
       "AUT Forestry and logging                                                                      2.3   \n",
       "AUT Fishing and aquaculture                                                                 280.8   \n",
       "AUT Mining and quarrying                                                                     28.4   \n",
       "AUT Manufacture of food products, beverages and...                                         4422.2   \n",
       "...                                                                                           ...   \n",
       "RoW Education                                                                                 7.8   \n",
       "RoW Human health and social work activities                                                   1.1   \n",
       "RoW Other service activities                                                                  0.3   \n",
       "RoW Activities of households as employers; undi...                                            0.0   \n",
       "RoW Activities of extraterritorial organization...                                            0.0   \n",
       "\n",
       "                                                    AUT Publishing activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                        1.6   \n",
       "AUT Forestry and logging                                                  0.7   \n",
       "AUT Fishing and aquaculture                                               0.4   \n",
       "AUT Mining and quarrying                                                  3.0   \n",
       "AUT Manufacture of food products, beverages and...                       11.3   \n",
       "...                                                                       ...   \n",
       "RoW Education                                                             1.7   \n",
       "RoW Human health and social work activities                               0.7   \n",
       "RoW Other service activities                                              0.3   \n",
       "RoW Activities of households as employers; undi...                        0.0   \n",
       "RoW Activities of extraterritorial organization...                        0.0   \n",
       "\n",
       "                                                    AUT Motion picture, video and television programme production, sound recording and music publishing activities; programming and broadcasting activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                               42.3                                                                                                         \n",
       "AUT Forestry and logging                                                                          0.3                                                                                                         \n",
       "AUT Fishing and aquaculture                                                                       0.1                                                                                                         \n",
       "AUT Mining and quarrying                                                                          5.0                                                                                                         \n",
       "AUT Manufacture of food products, beverages and...                                               24.8                                                                                                         \n",
       "...                                                                                               ...                                                                                                         \n",
       "RoW Education                                                                                     2.3                                                                                                         \n",
       "RoW Human health and social work activities                                                       0.1                                                                                                         \n",
       "RoW Other service activities                                                                      0.4                                                                                                         \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                                         \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                                         \n",
       "\n",
       "                                                    AUT Telecommunications  \\\n",
       "AUT Crop and animal production, hunting and rel...                    13.3   \n",
       "AUT Forestry and logging                                               1.4   \n",
       "AUT Fishing and aquaculture                                            0.4   \n",
       "AUT Mining and quarrying                                              15.1   \n",
       "AUT Manufacture of food products, beverages and...                    55.4   \n",
       "...                                                                    ...   \n",
       "RoW Education                                                          3.6   \n",
       "RoW Human health and social work activities                            1.1   \n",
       "RoW Other service activities                                           0.8   \n",
       "RoW Activities of households as employers; undi...                     0.0   \n",
       "RoW Activities of extraterritorial organization...                     0.0   \n",
       "\n",
       "                                                    AUT Computer programming, consultancy and related activities; information service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                8.9                                              \n",
       "AUT Forestry and logging                                                                          1.0                                              \n",
       "AUT Fishing and aquaculture                                                                       0.6                                              \n",
       "AUT Mining and quarrying                                                                         20.2                                              \n",
       "AUT Manufacture of food products, beverages and...                                               46.0                                              \n",
       "...                                                                                               ...                                              \n",
       "RoW Education                                                                                    20.6                                              \n",
       "RoW Human health and social work activities                                                       1.7                                              \n",
       "RoW Other service activities                                                                      0.6                                              \n",
       "RoW Activities of households as employers; undi...                                                0.0                                              \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                              \n",
       "\n",
       "                                                    AUT Financial service activities, except insurance and pension funding  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                7.3                        \n",
       "AUT Forestry and logging                                                                          0.8                        \n",
       "AUT Fishing and aquaculture                                                                       0.4                        \n",
       "AUT Mining and quarrying                                                                          1.8                        \n",
       "AUT Manufacture of food products, beverages and...                                               23.1                        \n",
       "...                                                                                               ...                        \n",
       "RoW Education                                                                                    29.5                        \n",
       "RoW Human health and social work activities                                                       0.9                        \n",
       "RoW Other service activities                                                                      0.4                        \n",
       "RoW Activities of households as employers; undi...                                                0.0                        \n",
       "RoW Activities of extraterritorial organization...                                                0.0                        \n",
       "\n",
       "                                                    AUT Insurance, reinsurance and pension funding, except compulsory social security  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                3.2                                   \n",
       "AUT Forestry and logging                                                                          0.4                                   \n",
       "AUT Fishing and aquaculture                                                                       0.1                                   \n",
       "AUT Mining and quarrying                                                                          0.9                                   \n",
       "AUT Manufacture of food products, beverages and...                                                1.1                                   \n",
       "...                                                                                               ...                                   \n",
       "RoW Education                                                                                     3.5                                   \n",
       "RoW Human health and social work activities                                                      25.5                                   \n",
       "RoW Other service activities                                                                      0.1                                   \n",
       "RoW Activities of households as employers; undi...                                                0.0                                   \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                   \n",
       "\n",
       "                                                    AUT Activities auxiliary to financial services and insurance activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                2.1                         \n",
       "AUT Forestry and logging                                                                          0.6                         \n",
       "AUT Fishing and aquaculture                                                                       0.3                         \n",
       "AUT Mining and quarrying                                                                          5.7                         \n",
       "AUT Manufacture of food products, beverages and...                                                3.3                         \n",
       "...                                                                                               ...                         \n",
       "RoW Education                                                                                    11.8                         \n",
       "RoW Human health and social work activities                                                       0.8                         \n",
       "RoW Other service activities                                                                      0.2                         \n",
       "RoW Activities of households as employers; undi...                                                0.0                         \n",
       "RoW Activities of extraterritorial organization...                                                0.0                         \n",
       "\n",
       "                                                    AUT Real estate activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                       100.7   \n",
       "AUT Forestry and logging                                                   5.4   \n",
       "AUT Fishing and aquaculture                                                1.5   \n",
       "AUT Mining and quarrying                                                  30.3   \n",
       "AUT Manufacture of food products, beverages and...                        46.7   \n",
       "...                                                                        ...   \n",
       "RoW Education                                                             12.0   \n",
       "RoW Human health and social work activities                                0.8   \n",
       "RoW Other service activities                                               0.2   \n",
       "RoW Activities of households as employers; undi...                         0.0   \n",
       "RoW Activities of extraterritorial organization...                         0.0   \n",
       "\n",
       "                                                    AUT Legal and accounting activities; activities of head offices; management consultancy activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                               34.8                                                    \n",
       "AUT Forestry and logging                                                                          3.7                                                    \n",
       "AUT Fishing and aquaculture                                                                       2.2                                                    \n",
       "AUT Mining and quarrying                                                                         72.7                                                    \n",
       "AUT Manufacture of food products, beverages and...                                              105.5                                                    \n",
       "...                                                                                               ...                                                    \n",
       "RoW Education                                                                                    75.4                                                    \n",
       "RoW Human health and social work activities                                                       2.6                                                    \n",
       "RoW Other service activities                                                                      2.5                                                    \n",
       "RoW Activities of households as employers; undi...                                                0.1                                                    \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                    \n",
       "\n",
       "                                                    AUT Architectural and engineering activities; technical testing and analysis  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                              \n",
       "AUT Forestry and logging                                                                          0.0                              \n",
       "AUT Fishing and aquaculture                                                                       0.0                              \n",
       "AUT Mining and quarrying                                                                          0.0                              \n",
       "AUT Manufacture of food products, beverages and...                                                0.0                              \n",
       "...                                                                                               ...                              \n",
       "RoW Education                                                                                     0.0                              \n",
       "RoW Human health and social work activities                                                       0.0                              \n",
       "RoW Other service activities                                                                      0.0                              \n",
       "RoW Activities of households as employers; undi...                                                0.0                              \n",
       "RoW Activities of extraterritorial organization...                                                0.0                              \n",
       "\n",
       "                                                    AUT Scientific research and development  \\\n",
       "AUT Crop and animal production, hunting and rel...                                      0.0   \n",
       "AUT Forestry and logging                                                                0.0   \n",
       "AUT Fishing and aquaculture                                                             0.0   \n",
       "AUT Mining and quarrying                                                                0.0   \n",
       "AUT Manufacture of food products, beverages and...                                      0.0   \n",
       "...                                                                                     ...   \n",
       "RoW Education                                                                           0.0   \n",
       "RoW Human health and social work activities                                             0.0   \n",
       "RoW Other service activities                                                            0.0   \n",
       "RoW Activities of households as employers; undi...                                      0.0   \n",
       "RoW Activities of extraterritorial organization...                                      0.0   \n",
       "\n",
       "                                                    AUT Advertising and market research  \\\n",
       "AUT Crop and animal production, hunting and rel...                                  0.0   \n",
       "AUT Forestry and logging                                                            0.0   \n",
       "AUT Fishing and aquaculture                                                         0.0   \n",
       "AUT Mining and quarrying                                                            0.0   \n",
       "AUT Manufacture of food products, beverages and...                                  0.0   \n",
       "...                                                                                 ...   \n",
       "RoW Education                                                                       0.0   \n",
       "RoW Human health and social work activities                                         0.0   \n",
       "RoW Other service activities                                                        0.0   \n",
       "RoW Activities of households as employers; undi...                                  0.0   \n",
       "RoW Activities of extraterritorial organization...                                  0.0   \n",
       "\n",
       "                                                    AUT Other professional, scientific and technical activities; veterinary activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                                    \n",
       "AUT Forestry and logging                                                                          0.0                                    \n",
       "AUT Fishing and aquaculture                                                                       0.0                                    \n",
       "AUT Mining and quarrying                                                                          0.0                                    \n",
       "AUT Manufacture of food products, beverages and...                                                0.0                                    \n",
       "...                                                                                               ...                                    \n",
       "RoW Education                                                                                     0.0                                    \n",
       "RoW Human health and social work activities                                                       0.0                                    \n",
       "RoW Other service activities                                                                      0.0                                    \n",
       "RoW Activities of households as employers; undi...                                                0.0                                    \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                    \n",
       "\n",
       "                                                    AUT Administrative and support service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                              118.8   \n",
       "AUT Forestry and logging                                                                          4.0   \n",
       "AUT Fishing and aquaculture                                                                       1.5   \n",
       "AUT Mining and quarrying                                                                         21.6   \n",
       "AUT Manufacture of food products, beverages and...                                               65.3   \n",
       "...                                                                                               ...   \n",
       "RoW Education                                                                                    42.1   \n",
       "RoW Human health and social work activities                                                       4.5   \n",
       "RoW Other service activities                                                                      1.4   \n",
       "RoW Activities of households as employers; undi...                                                0.1   \n",
       "RoW Activities of extraterritorial organization...                                                0.0   \n",
       "\n",
       "                                                    ...  \\\n",
       "AUT Crop and animal production, hunting and rel...  ...   \n",
       "AUT Forestry and logging                            ...   \n",
       "AUT Fishing and aquaculture                         ...   \n",
       "AUT Mining and quarrying                            ...   \n",
       "AUT Manufacture of food products, beverages and...  ...   \n",
       "...                                                 ...   \n",
       "RoW Education                                       ...   \n",
       "RoW Human health and social work activities         ...   \n",
       "RoW Other service activities                        ...   \n",
       "RoW Activities of households as employers; undi...  ...   \n",
       "RoW Activities of extraterritorial organization...  ...   \n",
       "\n",
       "                                                    RoW Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                1.4                                                                                     \n",
       "AUT Forestry and logging                                                                          2.1                                                                                     \n",
       "AUT Fishing and aquaculture                                                                       0.0                                                                                     \n",
       "AUT Mining and quarrying                                                                         11.6                                                                                     \n",
       "AUT Manufacture of food products, beverages and...                                                0.3                                                                                     \n",
       "...                                                                                               ...                                                                                     \n",
       "RoW Education                                                                                     7.4                                                                                     \n",
       "RoW Human health and social work activities                                                      16.0                                                                                     \n",
       "RoW Other service activities                                                                    132.7                                                                                     \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                     \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                     \n",
       "\n",
       "                                                    RoW Manufacture of paper and paper products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                          6.6   \n",
       "AUT Forestry and logging                                                                    0.3   \n",
       "AUT Fishing and aquaculture                                                                 0.0   \n",
       "AUT Mining and quarrying                                                                   16.7   \n",
       "AUT Manufacture of food products, beverages and...                                          1.5   \n",
       "...                                                                                         ...   \n",
       "RoW Education                                                                              22.3   \n",
       "RoW Human health and social work activities                                                29.7   \n",
       "RoW Other service activities                                                              174.7   \n",
       "RoW Activities of households as employers; undi...                                          0.0   \n",
       "RoW Activities of extraterritorial organization...                                          0.0   \n",
       "\n",
       "                                                    RoW Printing and reproduction of recorded media  \\\n",
       "AUT Crop and animal production, hunting and rel...                                              0.0   \n",
       "AUT Forestry and logging                                                                        0.0   \n",
       "AUT Fishing and aquaculture                                                                     0.0   \n",
       "AUT Mining and quarrying                                                                        1.2   \n",
       "AUT Manufacture of food products, beverages and...                                              0.2   \n",
       "...                                                                                             ...   \n",
       "RoW Education                                                                                  10.6   \n",
       "RoW Human health and social work activities                                                     2.2   \n",
       "RoW Other service activities                                                                  160.5   \n",
       "RoW Activities of households as employers; undi...                                              0.0   \n",
       "RoW Activities of extraterritorial organization...                                              0.0   \n",
       "\n",
       "                                                    RoW Manufacture of coke and refined petroleum products   \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1         \n",
       "AUT Forestry and logging                                                                          0.0         \n",
       "AUT Fishing and aquaculture                                                                       0.0         \n",
       "AUT Mining and quarrying                                                                       2339.1         \n",
       "AUT Manufacture of food products, beverages and...                                                0.9         \n",
       "...                                                                                               ...         \n",
       "RoW Education                                                                                    10.4         \n",
       "RoW Human health and social work activities                                                      11.4         \n",
       "RoW Other service activities                                                                    234.9         \n",
       "RoW Activities of households as employers; undi...                                                0.0         \n",
       "RoW Activities of extraterritorial organization...                                                0.0         \n",
       "\n",
       "                                                    RoW Manufacture of chemicals and chemical products   \\\n",
       "AUT Crop and animal production, hunting and rel...                                               14.4     \n",
       "AUT Forestry and logging                                                                          0.1     \n",
       "AUT Fishing and aquaculture                                                                       0.0     \n",
       "AUT Mining and quarrying                                                                        763.1     \n",
       "AUT Manufacture of food products, beverages and...                                               18.3     \n",
       "...                                                                                               ...     \n",
       "RoW Education                                                                                    65.9     \n",
       "RoW Human health and social work activities                                                      56.1     \n",
       "RoW Other service activities                                                                   1073.1     \n",
       "RoW Activities of households as employers; undi...                                                0.0     \n",
       "RoW Activities of extraterritorial organization...                                                0.0     \n",
       "\n",
       "                                                    RoW Manufacture of basic pharmaceutical products and pharmaceutical preparations  \\\n",
       "AUT Crop and animal production, hunting and rel...                                               14.9                                  \n",
       "AUT Forestry and logging                                                                          0.0                                  \n",
       "AUT Fishing and aquaculture                                                                       0.0                                  \n",
       "AUT Mining and quarrying                                                                          8.3                                  \n",
       "AUT Manufacture of food products, beverages and...                                                7.9                                  \n",
       "...                                                                                               ...                                  \n",
       "RoW Education                                                                                    27.2                                  \n",
       "RoW Human health and social work activities                                                      43.1                                  \n",
       "RoW Other service activities                                                                    329.4                                  \n",
       "RoW Activities of households as employers; undi...                                                0.0                                  \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                  \n",
       "\n",
       "                                                    RoW Manufacture of rubber and plastic products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                             7.3   \n",
       "AUT Forestry and logging                                                                       1.1   \n",
       "AUT Fishing and aquaculture                                                                    0.0   \n",
       "AUT Mining and quarrying                                                                      18.8   \n",
       "AUT Manufacture of food products, beverages and...                                             2.1   \n",
       "...                                                                                            ...   \n",
       "RoW Education                                                                                 32.6   \n",
       "RoW Human health and social work activities                                                   10.4   \n",
       "RoW Other service activities                                                                 481.8   \n",
       "RoW Activities of households as employers; undi...                                             0.0   \n",
       "RoW Activities of extraterritorial organization...                                             0.0   \n",
       "\n",
       "                                                    RoW Manufacture of other non-metallic mineral products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.4        \n",
       "AUT Forestry and logging                                                                          0.0        \n",
       "AUT Fishing and aquaculture                                                                       0.0        \n",
       "AUT Mining and quarrying                                                                        343.3        \n",
       "AUT Manufacture of food products, beverages and...                                                1.0        \n",
       "...                                                                                               ...        \n",
       "RoW Education                                                                                    38.5        \n",
       "RoW Human health and social work activities                                                      33.9        \n",
       "RoW Other service activities                                                                    570.4        \n",
       "RoW Activities of households as employers; undi...                                                0.0        \n",
       "RoW Activities of extraterritorial organization...                                                0.0        \n",
       "\n",
       "                                                    RoW Manufacture of basic metals  \\\n",
       "AUT Crop and animal production, hunting and rel...                              0.1   \n",
       "AUT Forestry and logging                                                        0.0   \n",
       "AUT Fishing and aquaculture                                                     0.0   \n",
       "AUT Mining and quarrying                                                      977.9   \n",
       "AUT Manufacture of food products, beverages and...                              0.8   \n",
       "...                                                                             ...   \n",
       "RoW Education                                                                  45.8   \n",
       "RoW Human health and social work activities                                   103.3   \n",
       "RoW Other service activities                                                 1062.6   \n",
       "RoW Activities of households as employers; undi...                              0.0   \n",
       "RoW Activities of extraterritorial organization...                              0.0   \n",
       "\n",
       "                                                    RoW Manufacture of fabricated metal products, except machinery and equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1                              \n",
       "AUT Forestry and logging                                                                          0.0                              \n",
       "AUT Fishing and aquaculture                                                                       0.0                              \n",
       "AUT Mining and quarrying                                                                         65.4                              \n",
       "AUT Manufacture of food products, beverages and...                                                0.4                              \n",
       "...                                                                                               ...                              \n",
       "RoW Education                                                                                    46.2                              \n",
       "RoW Human health and social work activities                                                      33.2                              \n",
       "RoW Other service activities                                                                    537.6                              \n",
       "RoW Activities of households as employers; undi...                                                0.0                              \n",
       "RoW Activities of extraterritorial organization...                                                0.0                              \n",
       "\n",
       "                                                    RoW Manufacture of computer, electronic and optical products  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0              \n",
       "AUT Forestry and logging                                                                          0.0              \n",
       "AUT Fishing and aquaculture                                                                       0.0              \n",
       "AUT Mining and quarrying                                                                          7.0              \n",
       "AUT Manufacture of food products, beverages and...                                                0.6              \n",
       "...                                                                                               ...              \n",
       "RoW Education                                                                                    39.5              \n",
       "RoW Human health and social work activities                                                      43.7              \n",
       "RoW Other service activities                                                                    612.2              \n",
       "RoW Activities of households as employers; undi...                                                0.0              \n",
       "RoW Activities of extraterritorial organization...                                                0.0              \n",
       "\n",
       "                                                    RoW Manufacture of electrical equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                      0.1   \n",
       "AUT Forestry and logging                                                                0.0   \n",
       "AUT Fishing and aquaculture                                                             0.0   \n",
       "AUT Mining and quarrying                                                               26.8   \n",
       "AUT Manufacture of food products, beverages and...                                      0.5   \n",
       "...                                                                                     ...   \n",
       "RoW Education                                                                          29.1   \n",
       "RoW Human health and social work activities                                            10.0   \n",
       "RoW Other service activities                                                          597.7   \n",
       "RoW Activities of households as employers; undi...                                      0.0   \n",
       "RoW Activities of extraterritorial organization...                                      0.0   \n",
       "\n",
       "                                                    RoW Manufacture of machinery and equipment n.e.c.  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.2   \n",
       "AUT Forestry and logging                                                                          0.0   \n",
       "AUT Fishing and aquaculture                                                                       0.0   \n",
       "AUT Mining and quarrying                                                                         46.0   \n",
       "AUT Manufacture of food products, beverages and...                                                0.4   \n",
       "...                                                                                               ...   \n",
       "RoW Education                                                                                    65.6   \n",
       "RoW Human health and social work activities                                                      85.3   \n",
       "RoW Other service activities                                                                    667.2   \n",
       "RoW Activities of households as employers; undi...                                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                                0.0   \n",
       "\n",
       "                                                    RoW Manufacture of motor vehicles, trailers and semi-trailers  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1               \n",
       "AUT Forestry and logging                                                                          0.0               \n",
       "AUT Fishing and aquaculture                                                                       0.0               \n",
       "AUT Mining and quarrying                                                                         14.9               \n",
       "AUT Manufacture of food products, beverages and...                                                0.5               \n",
       "...                                                                                               ...               \n",
       "RoW Education                                                                                    49.8               \n",
       "RoW Human health and social work activities                                                      31.5               \n",
       "RoW Other service activities                                                                    229.5               \n",
       "RoW Activities of households as employers; undi...                                                0.0               \n",
       "RoW Activities of extraterritorial organization...                                                0.0               \n",
       "\n",
       "                                                    RoW Manufacture of other transport equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                           0.0   \n",
       "AUT Forestry and logging                                                                     0.0   \n",
       "AUT Fishing and aquaculture                                                                  0.0   \n",
       "AUT Mining and quarrying                                                                     3.4   \n",
       "AUT Manufacture of food products, beverages and...                                           0.1   \n",
       "...                                                                                          ...   \n",
       "RoW Education                                                                                9.2   \n",
       "RoW Human health and social work activities                                                 33.6   \n",
       "RoW Other service activities                                                               134.7   \n",
       "RoW Activities of households as employers; undi...                                           0.0   \n",
       "RoW Activities of extraterritorial organization...                                           0.0   \n",
       "\n",
       "                                                    RoW Manufacture of furniture; other manufacturing  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                7.7   \n",
       "AUT Forestry and logging                                                                          0.4   \n",
       "AUT Fishing and aquaculture                                                                       0.0   \n",
       "AUT Mining and quarrying                                                                         18.1   \n",
       "AUT Manufacture of food products, beverages and...                                                1.1   \n",
       "...                                                                                               ...   \n",
       "RoW Education                                                                                    18.9   \n",
       "RoW Human health and social work activities                                                      17.4   \n",
       "RoW Other service activities                                                                    315.1   \n",
       "RoW Activities of households as employers; undi...                                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                                0.0   \n",
       "\n",
       "                                                    RoW Repair and installation of machinery and equipment  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0        \n",
       "AUT Forestry and logging                                                                          0.0        \n",
       "AUT Fishing and aquaculture                                                                       0.0        \n",
       "AUT Mining and quarrying                                                                          0.0        \n",
       "AUT Manufacture of food products, beverages and...                                                0.0        \n",
       "...                                                                                               ...        \n",
       "RoW Education                                                                                     0.1        \n",
       "RoW Human health and social work activities                                                       0.0        \n",
       "RoW Other service activities                                                                     84.1        \n",
       "RoW Activities of households as employers; undi...                                                0.0        \n",
       "RoW Activities of extraterritorial organization...                                                0.0        \n",
       "\n",
       "                                                    RoW Electricity, gas, steam and air conditioning supply  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.4         \n",
       "AUT Forestry and logging                                                                          0.1         \n",
       "AUT Fishing and aquaculture                                                                       0.0         \n",
       "AUT Mining and quarrying                                                                       2544.8         \n",
       "AUT Manufacture of food products, beverages and...                                                1.1         \n",
       "...                                                                                               ...         \n",
       "RoW Education                                                                                   174.9         \n",
       "RoW Human health and social work activities                                                     283.0         \n",
       "RoW Other service activities                                                                   3606.6         \n",
       "RoW Activities of households as employers; undi...                                                0.0         \n",
       "RoW Activities of extraterritorial organization...                                                0.0         \n",
       "\n",
       "                                                    RoW Water collection, treatment and supply  \\\n",
       "AUT Crop and animal production, hunting and rel...                                         0.1   \n",
       "AUT Forestry and logging                                                                   0.0   \n",
       "AUT Fishing and aquaculture                                                                0.0   \n",
       "AUT Mining and quarrying                                                                   7.6   \n",
       "AUT Manufacture of food products, beverages and...                                         0.2   \n",
       "...                                                                                        ...   \n",
       "RoW Education                                                                             33.1   \n",
       "RoW Human health and social work activities                                                4.4   \n",
       "RoW Other service activities                                                             344.3   \n",
       "RoW Activities of households as employers; undi...                                         0.0   \n",
       "RoW Activities of extraterritorial organization...                                         0.0   \n",
       "\n",
       "                                                    RoW Sewerage; waste collection, treatment and disposal activities; materials recovery; remediation activities and other waste management services   \\\n",
       "AUT Crop and animal production, hunting and rel...                                                2.2                                                                                                    \n",
       "AUT Forestry and logging                                                                          0.1                                                                                                    \n",
       "AUT Fishing and aquaculture                                                                       0.0                                                                                                    \n",
       "AUT Mining and quarrying                                                                         29.8                                                                                                    \n",
       "AUT Manufacture of food products, beverages and...                                                2.5                                                                                                    \n",
       "...                                                                                               ...                                                                                                    \n",
       "RoW Education                                                                                   112.3                                                                                                    \n",
       "RoW Human health and social work activities                                                     180.6                                                                                                    \n",
       "RoW Other service activities                                                                   1711.3                                                                                                    \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                                    \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                                    \n",
       "\n",
       "                                                    RoW Construction  \\\n",
       "AUT Crop and animal production, hunting and rel...              72.5   \n",
       "AUT Forestry and logging                                         2.4   \n",
       "AUT Fishing and aquaculture                                      0.0   \n",
       "AUT Mining and quarrying                                       380.9   \n",
       "AUT Manufacture of food products, beverages and...               2.5   \n",
       "...                                                              ...   \n",
       "RoW Education                                                  137.7   \n",
       "RoW Human health and social work activities                     86.2   \n",
       "RoW Other service activities                                   458.9   \n",
       "RoW Activities of households as employers; undi...               0.0   \n",
       "RoW Activities of extraterritorial organization...               0.0   \n",
       "\n",
       "                                                    RoW Wholesale and retail trade and repair of motor vehicles and motorcycles  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                             \n",
       "AUT Forestry and logging                                                                          0.0                             \n",
       "AUT Fishing and aquaculture                                                                       0.0                             \n",
       "AUT Mining and quarrying                                                                          0.2                             \n",
       "AUT Manufacture of food products, beverages and...                                                1.0                             \n",
       "...                                                                                               ...                             \n",
       "RoW Education                                                                                     5.7                             \n",
       "RoW Human health and social work activities                                                      15.1                             \n",
       "RoW Other service activities                                                                     41.8                             \n",
       "RoW Activities of households as employers; undi...                                                0.0                             \n",
       "RoW Activities of extraterritorial organization...                                                0.0                             \n",
       "\n",
       "                                                    RoW Wholesale trade, except of motor vehicles and motorcycles  \\\n",
       "AUT Crop and animal production, hunting and rel...                                               11.5               \n",
       "AUT Forestry and logging                                                                          0.6               \n",
       "AUT Fishing and aquaculture                                                                       0.0               \n",
       "AUT Mining and quarrying                                                                         17.1               \n",
       "AUT Manufacture of food products, beverages and...                                               22.2               \n",
       "...                                                                                               ...               \n",
       "RoW Education                                                                                   257.2               \n",
       "RoW Human health and social work activities                                                      38.8               \n",
       "RoW Other service activities                                                                   4911.0               \n",
       "RoW Activities of households as employers; undi...                                                0.0               \n",
       "RoW Activities of extraterritorial organization...                                                0.0               \n",
       "\n",
       "                                                    RoW Retail trade, except of motor vehicles and motorcycles  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                4.8            \n",
       "AUT Forestry and logging                                                                          0.1            \n",
       "AUT Fishing and aquaculture                                                                       0.0            \n",
       "AUT Mining and quarrying                                                                          4.3            \n",
       "AUT Manufacture of food products, beverages and...                                                7.8            \n",
       "...                                                                                               ...            \n",
       "RoW Education                                                                                    81.8            \n",
       "RoW Human health and social work activities                                                      16.1            \n",
       "RoW Other service activities                                                                   1276.7            \n",
       "RoW Activities of households as employers; undi...                                                0.0            \n",
       "RoW Activities of extraterritorial organization...                                                0.0            \n",
       "\n",
       "                                                    RoW Land transport and transport via pipelines  \\\n",
       "AUT Crop and animal production, hunting and rel...                                             8.0   \n",
       "AUT Forestry and logging                                                                       0.0   \n",
       "AUT Fishing and aquaculture                                                                    0.0   \n",
       "AUT Mining and quarrying                                                                      56.6   \n",
       "AUT Manufacture of food products, beverages and...                                             1.4   \n",
       "...                                                                                            ...   \n",
       "RoW Education                                                                                237.0   \n",
       "RoW Human health and social work activities                                                  218.0   \n",
       "RoW Other service activities                                                                 505.8   \n",
       "RoW Activities of households as employers; undi...                                             0.0   \n",
       "RoW Activities of extraterritorial organization...                                             0.0   \n",
       "\n",
       "                                                    RoW Water transport  \\\n",
       "AUT Crop and animal production, hunting and rel...                  0.3   \n",
       "AUT Forestry and logging                                            0.0   \n",
       "AUT Fishing and aquaculture                                         0.0   \n",
       "AUT Mining and quarrying                                           11.5   \n",
       "AUT Manufacture of food products, beverages and...                  3.4   \n",
       "...                                                                 ...   \n",
       "RoW Education                                                      24.8   \n",
       "RoW Human health and social work activities                        17.4   \n",
       "RoW Other service activities                                       97.1   \n",
       "RoW Activities of households as employers; undi...                  0.0   \n",
       "RoW Activities of extraterritorial organization...                  0.0   \n",
       "\n",
       "                                                    RoW Air transport  \\\n",
       "AUT Crop and animal production, hunting and rel...                0.0   \n",
       "AUT Forestry and logging                                          0.0   \n",
       "AUT Fishing and aquaculture                                       0.0   \n",
       "AUT Mining and quarrying                                          4.1   \n",
       "AUT Manufacture of food products, beverages and...                2.2   \n",
       "...                                                               ...   \n",
       "RoW Education                                                    26.1   \n",
       "RoW Human health and social work activities                      16.4   \n",
       "RoW Other service activities                                    138.6   \n",
       "RoW Activities of households as employers; undi...                0.0   \n",
       "RoW Activities of extraterritorial organization...                0.0   \n",
       "\n",
       "                                                    RoW Warehousing and support activities for transportation  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                9.2           \n",
       "AUT Forestry and logging                                                                          0.0           \n",
       "AUT Fishing and aquaculture                                                                       0.0           \n",
       "AUT Mining and quarrying                                                                          1.2           \n",
       "AUT Manufacture of food products, beverages and...                                                0.3           \n",
       "...                                                                                               ...           \n",
       "RoW Education                                                                                    45.7           \n",
       "RoW Human health and social work activities                                                      10.4           \n",
       "RoW Other service activities                                                                    223.0           \n",
       "RoW Activities of households as employers; undi...                                                0.0           \n",
       "RoW Activities of extraterritorial organization...                                                0.0           \n",
       "\n",
       "                                                    RoW Postal and courier activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                0.0   \n",
       "AUT Forestry and logging                                                          0.0   \n",
       "AUT Fishing and aquaculture                                                       0.0   \n",
       "AUT Mining and quarrying                                                          0.6   \n",
       "AUT Manufacture of food products, beverages and...                                0.0   \n",
       "...                                                                               ...   \n",
       "RoW Education                                                                    23.2   \n",
       "RoW Human health and social work activities                                       0.3   \n",
       "RoW Other service activities                                                    111.3   \n",
       "RoW Activities of households as employers; undi...                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                0.0   \n",
       "\n",
       "                                                    RoW Accommodation and food service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                           89.9   \n",
       "AUT Forestry and logging                                                                      0.1   \n",
       "AUT Fishing and aquaculture                                                                   0.8   \n",
       "AUT Mining and quarrying                                                                     18.1   \n",
       "AUT Manufacture of food products, beverages and...                                          234.7   \n",
       "...                                                                                           ...   \n",
       "RoW Education                                                                                87.5   \n",
       "RoW Human health and social work activities                                                  18.9   \n",
       "RoW Other service activities                                                                777.7   \n",
       "RoW Activities of households as employers; undi...                                            0.0   \n",
       "RoW Activities of extraterritorial organization...                                            0.0   \n",
       "\n",
       "                                                    RoW Publishing activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                        0.0   \n",
       "AUT Forestry and logging                                                  0.0   \n",
       "AUT Fishing and aquaculture                                               0.0   \n",
       "AUT Mining and quarrying                                                  0.0   \n",
       "AUT Manufacture of food products, beverages and...                        0.0   \n",
       "...                                                                       ...   \n",
       "RoW Education                                                             0.7   \n",
       "RoW Human health and social work activities                               0.2   \n",
       "RoW Other service activities                                             16.5   \n",
       "RoW Activities of households as employers; undi...                        0.0   \n",
       "RoW Activities of extraterritorial organization...                        0.0   \n",
       "\n",
       "                                                    RoW Motion picture, video and television programme production, sound recording and music publishing activities; programming and broadcasting activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1                                                                                                         \n",
       "AUT Forestry and logging                                                                          0.0                                                                                                         \n",
       "AUT Fishing and aquaculture                                                                       0.0                                                                                                         \n",
       "AUT Mining and quarrying                                                                          0.0                                                                                                         \n",
       "AUT Manufacture of food products, beverages and...                                                0.0                                                                                                         \n",
       "...                                                                                               ...                                                                                                         \n",
       "RoW Education                                                                                     1.1                                                                                                         \n",
       "RoW Human health and social work activities                                                       0.5                                                                                                         \n",
       "RoW Other service activities                                                                    394.2                                                                                                         \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                                         \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                                         \n",
       "\n",
       "                                                    RoW Telecommunications  \\\n",
       "AUT Crop and animal production, hunting and rel...                     0.0   \n",
       "AUT Forestry and logging                                               0.0   \n",
       "AUT Fishing and aquaculture                                            0.0   \n",
       "AUT Mining and quarrying                                               0.6   \n",
       "AUT Manufacture of food products, beverages and...                     0.1   \n",
       "...                                                                    ...   \n",
       "RoW Education                                                         30.1   \n",
       "RoW Human health and social work activities                           13.6   \n",
       "RoW Other service activities                                        1226.8   \n",
       "RoW Activities of households as employers; undi...                     0.0   \n",
       "RoW Activities of extraterritorial organization...                     0.0   \n",
       "\n",
       "                                                    RoW Computer programming, consultancy and related activities; information service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1                                              \n",
       "AUT Forestry and logging                                                                          0.0                                              \n",
       "AUT Fishing and aquaculture                                                                       0.0                                              \n",
       "AUT Mining and quarrying                                                                          2.7                                              \n",
       "AUT Manufacture of food products, beverages and...                                                0.2                                              \n",
       "...                                                                                               ...                                              \n",
       "RoW Education                                                                                    78.4                                              \n",
       "RoW Human health and social work activities                                                     145.3                                              \n",
       "RoW Other service activities                                                                    222.6                                              \n",
       "RoW Activities of households as employers; undi...                                                0.0                                              \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                              \n",
       "\n",
       "                                                    RoW Financial service activities, except insurance and pension funding  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                        \n",
       "AUT Forestry and logging                                                                          0.0                        \n",
       "AUT Fishing and aquaculture                                                                       0.0                        \n",
       "AUT Mining and quarrying                                                                          1.3                        \n",
       "AUT Manufacture of food products, beverages and...                                                0.7                        \n",
       "...                                                                                               ...                        \n",
       "RoW Education                                                                                   215.2                        \n",
       "RoW Human health and social work activities                                                      12.3                        \n",
       "RoW Other service activities                                                                    871.4                        \n",
       "RoW Activities of households as employers; undi...                                                0.0                        \n",
       "RoW Activities of extraterritorial organization...                                                0.0                        \n",
       "\n",
       "                                                    RoW Insurance, reinsurance and pension funding, except compulsory social security  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                                   \n",
       "AUT Forestry and logging                                                                          0.0                                   \n",
       "AUT Fishing and aquaculture                                                                       0.0                                   \n",
       "AUT Mining and quarrying                                                                          0.1                                   \n",
       "AUT Manufacture of food products, beverages and...                                                0.1                                   \n",
       "...                                                                                               ...                                   \n",
       "RoW Education                                                                                    48.6                                   \n",
       "RoW Human health and social work activities                                                     112.1                                   \n",
       "RoW Other service activities                                                                    119.9                                   \n",
       "RoW Activities of households as employers; undi...                                                0.0                                   \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                   \n",
       "\n",
       "                                                    RoW Activities auxiliary to financial services and insurance activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                         \n",
       "AUT Forestry and logging                                                                          0.0                         \n",
       "AUT Fishing and aquaculture                                                                       0.0                         \n",
       "AUT Mining and quarrying                                                                          0.0                         \n",
       "AUT Manufacture of food products, beverages and...                                                0.0                         \n",
       "...                                                                                               ...                         \n",
       "RoW Education                                                                                     2.1                         \n",
       "RoW Human health and social work activities                                                       0.0                         \n",
       "RoW Other service activities                                                                     17.8                         \n",
       "RoW Activities of households as employers; undi...                                                0.0                         \n",
       "RoW Activities of extraterritorial organization...                                                0.0                         \n",
       "\n",
       "                                                    RoW Real estate activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                         0.1   \n",
       "AUT Forestry and logging                                                   0.0   \n",
       "AUT Fishing and aquaculture                                                0.0   \n",
       "AUT Mining and quarrying                                                  20.3   \n",
       "AUT Manufacture of food products, beverages and...                         0.2   \n",
       "...                                                                        ...   \n",
       "RoW Education                                                             38.3   \n",
       "RoW Human health and social work activities                                6.7   \n",
       "RoW Other service activities                                             268.3   \n",
       "RoW Activities of households as employers; undi...                         0.0   \n",
       "RoW Activities of extraterritorial organization...                         0.0   \n",
       "\n",
       "                                                    RoW Legal and accounting activities; activities of head offices; management consultancy activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.4                                                    \n",
       "AUT Forestry and logging                                                                          0.0                                                    \n",
       "AUT Fishing and aquaculture                                                                       0.0                                                    \n",
       "AUT Mining and quarrying                                                                          2.2                                                    \n",
       "AUT Manufacture of food products, beverages and...                                                1.2                                                    \n",
       "...                                                                                               ...                                                    \n",
       "RoW Education                                                                                   173.7                                                    \n",
       "RoW Human health and social work activities                                                      15.5                                                    \n",
       "RoW Other service activities                                                                    927.1                                                    \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                    \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                    \n",
       "\n",
       "                                                    RoW Architectural and engineering activities; technical testing and analysis  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1                              \n",
       "AUT Forestry and logging                                                                          0.0                              \n",
       "AUT Fishing and aquaculture                                                                       0.0                              \n",
       "AUT Mining and quarrying                                                                          1.0                              \n",
       "AUT Manufacture of food products, beverages and...                                                0.1                              \n",
       "...                                                                                               ...                              \n",
       "RoW Education                                                                                    99.0                              \n",
       "RoW Human health and social work activities                                                      11.6                              \n",
       "RoW Other service activities                                                                    131.0                              \n",
       "RoW Activities of households as employers; undi...                                                0.0                              \n",
       "RoW Activities of extraterritorial organization...                                                0.0                              \n",
       "\n",
       "                                                    RoW Scientific research and development  \\\n",
       "AUT Crop and animal production, hunting and rel...                                      0.1   \n",
       "AUT Forestry and logging                                                                0.0   \n",
       "AUT Fishing and aquaculture                                                             0.0   \n",
       "AUT Mining and quarrying                                                                3.0   \n",
       "AUT Manufacture of food products, beverages and...                                      0.1   \n",
       "...                                                                                     ...   \n",
       "RoW Education                                                                          34.6   \n",
       "RoW Human health and social work activities                                            36.3   \n",
       "RoW Other service activities                                                          122.8   \n",
       "RoW Activities of households as employers; undi...                                      0.0   \n",
       "RoW Activities of extraterritorial organization...                                      0.0   \n",
       "\n",
       "                                                    RoW Advertising and market research  \\\n",
       "AUT Crop and animal production, hunting and rel...                                  0.0   \n",
       "AUT Forestry and logging                                                            0.0   \n",
       "AUT Fishing and aquaculture                                                         0.0   \n",
       "AUT Mining and quarrying                                                            0.0   \n",
       "AUT Manufacture of food products, beverages and...                                  0.0   \n",
       "...                                                                                 ...   \n",
       "RoW Education                                                                       0.0   \n",
       "RoW Human health and social work activities                                         0.0   \n",
       "RoW Other service activities                                                        0.0   \n",
       "RoW Activities of households as employers; undi...                                  0.0   \n",
       "RoW Activities of extraterritorial organization...                                  0.0   \n",
       "\n",
       "                                                    RoW Other professional, scientific and technical activities; veterinary activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.3                                    \n",
       "AUT Forestry and logging                                                                          0.0                                    \n",
       "AUT Fishing and aquaculture                                                                       0.0                                    \n",
       "AUT Mining and quarrying                                                                          2.9                                    \n",
       "AUT Manufacture of food products, beverages and...                                                0.0                                    \n",
       "...                                                                                               ...                                    \n",
       "RoW Education                                                                                     8.7                                    \n",
       "RoW Human health and social work activities                                                      12.5                                    \n",
       "RoW Other service activities                                                                    139.2                                    \n",
       "RoW Activities of households as employers; undi...                                                0.0                                    \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                    \n",
       "\n",
       "                                                    RoW Administrative and support service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.1   \n",
       "AUT Forestry and logging                                                                          0.0   \n",
       "AUT Fishing and aquaculture                                                                       0.0   \n",
       "AUT Mining and quarrying                                                                          1.0   \n",
       "AUT Manufacture of food products, beverages and...                                                0.5   \n",
       "...                                                                                               ...   \n",
       "RoW Education                                                                                   101.3   \n",
       "RoW Human health and social work activities                                                      11.5   \n",
       "RoW Other service activities                                                                    332.9   \n",
       "RoW Activities of households as employers; undi...                                                0.0   \n",
       "RoW Activities of extraterritorial organization...                                                0.0   \n",
       "\n",
       "                                                    RoW Public administration and defence; compulsory social security  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                1.5                   \n",
       "AUT Forestry and logging                                                                          0.0                   \n",
       "AUT Fishing and aquaculture                                                                       0.0                   \n",
       "AUT Mining and quarrying                                                                         19.8                   \n",
       "AUT Manufacture of food products, beverages and...                                                4.3                   \n",
       "...                                                                                               ...                   \n",
       "RoW Education                                                                                   450.3                   \n",
       "RoW Human health and social work activities                                                     201.2                   \n",
       "RoW Other service activities                                                                   1310.4                   \n",
       "RoW Activities of households as employers; undi...                                                0.0                   \n",
       "RoW Activities of extraterritorial organization...                                                0.0                   \n",
       "\n",
       "                                                    RoW Education  \\\n",
       "AUT Crop and animal production, hunting and rel...            3.2   \n",
       "AUT Forestry and logging                                      0.0   \n",
       "AUT Fishing and aquaculture                                   0.0   \n",
       "AUT Mining and quarrying                                     49.4   \n",
       "AUT Manufacture of food products, beverages and...            8.2   \n",
       "...                                                           ...   \n",
       "RoW Education                                               288.9   \n",
       "RoW Human health and social work activities                 221.7   \n",
       "RoW Other service activities                               1596.1   \n",
       "RoW Activities of households as employers; undi...            0.0   \n",
       "RoW Activities of extraterritorial organization...            0.0   \n",
       "\n",
       "                                                    RoW Human health and social work activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                                          5.9   \n",
       "AUT Forestry and logging                                                                    0.0   \n",
       "AUT Fishing and aquaculture                                                                 0.0   \n",
       "AUT Mining and quarrying                                                                   14.7   \n",
       "AUT Manufacture of food products, beverages and...                                          8.6   \n",
       "...                                                                                         ...   \n",
       "RoW Education                                                                             161.2   \n",
       "RoW Human health and social work activities                                              1791.2   \n",
       "RoW Other service activities                                                             1063.5   \n",
       "RoW Activities of households as employers; undi...                                          0.0   \n",
       "RoW Activities of extraterritorial organization...                                          0.0   \n",
       "\n",
       "                                                    RoW Other service activities  \\\n",
       "AUT Crop and animal production, hunting and rel...                           2.5   \n",
       "AUT Forestry and logging                                                     0.1   \n",
       "AUT Fishing and aquaculture                                                  0.0   \n",
       "AUT Mining and quarrying                                                    40.4   \n",
       "AUT Manufacture of food products, beverages and...                          24.0   \n",
       "...                                                                          ...   \n",
       "RoW Education                                                              119.5   \n",
       "RoW Human health and social work activities                                118.7   \n",
       "RoW Other service activities                                              5957.6   \n",
       "RoW Activities of households as employers; undi...                           0.0   \n",
       "RoW Activities of extraterritorial organization...                           0.0   \n",
       "\n",
       "                                                    RoW Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use  \\\n",
       "AUT Crop and animal production, hunting and rel...                                                0.0                                                                                \n",
       "AUT Forestry and logging                                                                          0.0                                                                                \n",
       "AUT Fishing and aquaculture                                                                       0.0                                                                                \n",
       "AUT Mining and quarrying                                                                          0.0                                                                                \n",
       "AUT Manufacture of food products, beverages and...                                                0.0                                                                                \n",
       "...                                                                                               ...                                                                                \n",
       "RoW Education                                                                                     0.0                                                                                \n",
       "RoW Human health and social work activities                                                       0.0                                                                                \n",
       "RoW Other service activities                                                                      0.0                                                                                \n",
       "RoW Activities of households as employers; undi...                                                0.0                                                                                \n",
       "RoW Activities of extraterritorial organization...                                                0.0                                                                                \n",
       "\n",
       "                                                    RoW Activities of extraterritorial organizations and bodies  \n",
       "AUT Crop and animal production, hunting and rel...                                                0.0            \n",
       "AUT Forestry and logging                                                                          0.0            \n",
       "AUT Fishing and aquaculture                                                                       0.0            \n",
       "AUT Mining and quarrying                                                                          0.0            \n",
       "AUT Manufacture of food products, beverages and...                                                0.0            \n",
       "...                                                                                               ...            \n",
       "RoW Education                                                                                     0.0            \n",
       "RoW Human health and social work activities                                                       0.0            \n",
       "RoW Other service activities                                                                      2.2            \n",
       "RoW Activities of households as employers; undi...                                                0.0            \n",
       "RoW Activities of extraterritorial organization...                                                0.0            \n",
       "\n",
       "[1680 rows x 1680 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', 100)\n",
    "display(Z[2000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1.3 Trying out the function with WIOD - The UK's footprint in 2000\n",
    "\n",
    "Let's use the ```total_footprint_calc``` funtction to find the footprint of the United Kingdom for the year 2000. To do this, we can call the function and pass it the following parameters:\n",
    "\n",
    "```python\n",
    "Z[2000]\n",
    "Y[2000]\n",
    "Y[2000].loc[:,'GBR']\n",
    "f[2000]\n",
    "```\n",
    "    \n",
    "Notice how rather than make ```y_region```, we can use ```Y[2000].loc[:,'GBR']``` as a short cut.\n",
    "\n",
    "Try\n",
    "\n",
    "```python\n",
    "total_footprint_calc(Z[2000],Y[2000],Y[2000].loc[:,'GBR'],f[2000])\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "604080.9261566492"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_footprint_calc(Z[2000],Y[2000],Y[2000].loc[:,'GBR'],f[2000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is telling us that the carbon footprint in the UK in 2000 was 604,081 kilotonnes. If you work it out on a per person basis, this is around 8 tonnes per person. \n",
    "\n",
    "The actual carbon footprint is a little higher because we also need to add in the emissions that households generate themselves from burning fuel to heat their homes and run power cars. This forms a separate account and we have it stored in the file ```2000_fhh.csv```. \n",
    "\n",
    "Let's take a look at that file. Try\n",
    "\n",
    "```python\n",
    "display(fhh[2000])\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "            0\n",
       "AUT   14569.0\n",
       "AUS   30697.2\n",
       "BEL   29949.0\n",
       "BGR    3225.1\n",
       "BRA   42616.0\n",
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       "CHN  291373.8\n",
       "DEU  191016.3\n",
       "ESP   47920.8\n",
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       "HUN   13498.9\n",
       "IDN   47530.6\n",
       "IND   84241.4\n",
       "IRL   10822.3\n",
       "ITA  127079.8\n",
       "JPN  131135.4\n",
       "KOR   42906.8\n",
       "MEX   63271.7\n",
       "NLD   39059.0\n",
       "NOR    5452.7\n",
       "POL   37058.7\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(fhh[2000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### You should see that UK households burnt 149330 kilotonnes CO2 in the year 2000 from heating their homes and using fuel in their cars.\n",
    "\n",
    "We need to adjust the ```total_footprint_calc``` function to include these 'direct' emissions from households. Remake your function below.\n",
    "\n",
    "```python\n",
    "def total_footprint_calc2(Z,Y,y_region,f,fhh):   \n",
    "    x = np.sum(Z,1) + np.sum(Y,1)\n",
    "    x[x==0] = 0.000000001\n",
    "    big_X = np.tile(np.transpose(x),[30*56,1])\n",
    "    A = Z/big_X \n",
    "    L = np.linalg.inv(np.identity(30*56)-A)\n",
    "    e = f/x \n",
    "    eL = np.dot(e,L)\n",
    "    footprint_by_region = np.sum(np.sum(np.dot(eL,y_region),0,0) + np.sum(fhh,0)\n",
    "\n",
    "    return footprint_by_region\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def total_footprint_calc2(Z,Y,y_region,f,fhh):   \n",
    "    x = np.sum(Z,1) + np.sum(Y,1)\n",
    "    x[x==0] = 0.000000001\n",
    "    big_X = np.tile(np.transpose(x),[30*56,1])\n",
    "    A = Z/big_X \n",
    "    L = np.linalg.inv(np.identity(30*56)-A)\n",
    "    e = f/x \n",
    "    eL = np.dot(e,L)\n",
    "    footprint_by_region = np.sum(np.sum(np.dot(eL,y_region),0),0) + np.sum(fhh,0)\n",
    "\n",
    "    return footprint_by_region"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "try\n",
    "\n",
    "```python\n",
    "total_footprint_calc2(Z[2000],Y[2000],Y[2000].loc[:,'GBR'],f[2000],f[2000].loc['GBR'])\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "753411.1261566493"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_footprint_calc2(Z[2000],Y[2000],Y[2000].loc[:,'GBR'],f[2000],fhh[2000].loc['GBR'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have included direct emissions from household's we find the UK's footprint is 753,411 kilotonnes CO2. Now let's make a timeseries for all the years. \n",
    "\n",
    "## Exercise 1.4 Using a for-loop to find the UK footprint for the years 2000 to 2014\n",
    "\n",
    "First let's create a varaible years that contains the range 2000-2014\n",
    "\n",
    "```python\n",
    "    years = range(2000,2015)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "  years = range(2000,2015)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will set up a new empty variable called data which will hold the carbon footprint for the years 2000 to 2014. Try:\n",
    "\n",
    "```python\n",
    "    data = np.zeros((15,1))\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "    data = np.zeros((15,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are going to set up a for-loop to call the function for every year in years. We will put the result into our data variable. The problem is that we will need to tell Python which cell to put the result in. This is where the enumerate function becomes really useful. Enumerate will count how many times we have looped through the function and we can use it to decide which cell to fill.\n",
    "\n",
    "Try:\n",
    "\n",
    "```python\n",
    "for count, yr in enumerate(years):\n",
    "    print[yr]\n",
    "    data[count,0] = total_footprint_calc2(Z[yr],Y[yr],Y[yr].loc[:,'GBR'],f[yr],fhh[yr].loc['GBR'])\n",
    "        \n",
    "UK_foot = pd.DataFrame(data,index=years)\n",
    "UK_foot\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2000\n",
      "2001\n",
      "2002\n",
      "2003\n",
      "2004\n",
      "2005\n",
      "2006\n",
      "2007\n",
      "2008\n",
      "2009\n",
      "2010\n",
      "2011\n",
      "2012\n",
      "2013\n",
      "2014\n"
     ]
    },
    {
     "data": {
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       "      <th>2001</th>\n",
       "      <td>767462.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>773963.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>790649.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>822053.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>823473.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>829919.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>821888.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>761409.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>679445.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>706642.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>662544.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>685668.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>686403.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>652693.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              0\n",
       "2000  753411.13\n",
       "2001  767462.13\n",
       "2002  773963.28\n",
       "2003  790649.66\n",
       "2004  822053.17\n",
       "2005  823473.56\n",
       "2006  829919.47\n",
       "2007  821888.66\n",
       "2008  761409.50\n",
       "2009  679445.00\n",
       "2010  706642.76\n",
       "2011  662544.66\n",
       "2012  685668.02\n",
       "2013  686403.76\n",
       "2014  652693.00"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for count, yr in enumerate(years):\n",
    "    print(yr)\n",
    "    data[count,0] = total_footprint_calc2(Z[yr],Y[yr],Y[yr].loc[:,'GBR'],f[yr],fhh[yr].loc['GBR'])\n",
    "        \n",
    "UK_foot = pd.DataFrame(data,index=years)\n",
    "UK_foot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try\n",
    "```python\n",
    "chart = UK_foot.plot( kind = 'line')\n",
    "chart.set_ylabel('kilotonnes CO2')\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'kilotonnes CO2')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = UK_foot.plot( kind = 'line')\n",
    "chart.set_ylabel('kilotonnes CO2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What happened in 2007-2009 to cause the massive drop in the UK's consumption-based emissions?\n",
    "\n",
    "## Exercise 1.5 Comparing the UK's production- and consumption-based emissions for the years 2000 to 2014\n",
    "\n",
    "Now try:\n",
    "\n",
    "```python\n",
    "data = np.zeros((15,2))\n",
    "years = range(2000,2015)\n",
    "count = 0\n",
    "for count, yr in enumerate(years):\n",
    "    industry_emissions = np.sum(np.sum(f[yr].loc[:,'GBR Crop and animal production, hunting and related service activities':'GBR Activities of extraterritorial organizations and bodies'],0),0)\n",
    "    hhold_direct = np.sum(fhh[yr].loc['GBR'],0)\n",
    "    data[count,0] = industry_emissions + hhold_direct\n",
    "UK_emissions = pd.DataFrame(data,index = years,columns=['Production','Consumption'])\n",
    "UK_emissions['Consumption'] = UK_foot\n",
    "UK_emissions\n",
    "```\n",
    "\n",
    "Notice that we have reset count to be zero before using it again. \n",
    "\n",
    "Notice too how we have found the UK's production emissions by adding up the industrial emissions in $f$ that cover the sectors 'Crop and animal production, hunting and related service activities' to 'GBR Activities of extraterritorial organizations and bodies'.\n",
    "\n",
    "Finally, notice that rather than recalculating the consumption emissions, we have simply put the previously calculated data into this new UK_emissions dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Production</th>\n",
       "      <th>Consumption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>616151.8</td>\n",
       "      <td>753411.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>628781.8</td>\n",
       "      <td>767462.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>613833.6</td>\n",
       "      <td>773963.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>627584.6</td>\n",
       "      <td>790649.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>633973.2</td>\n",
       "      <td>822053.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>633973.2</td>\n",
       "      <td>823473.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>623063.6</td>\n",
       "      <td>829919.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>615083.2</td>\n",
       "      <td>821888.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>600148.8</td>\n",
       "      <td>761409.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>545275.8</td>\n",
       "      <td>679445.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>563003.8</td>\n",
       "      <td>706642.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>524184.4</td>\n",
       "      <td>662544.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>537302.9</td>\n",
       "      <td>685668.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>524550.2</td>\n",
       "      <td>686403.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>488331.9</td>\n",
       "      <td>652693.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Production  Consumption\n",
       "2000    616151.8    753411.13\n",
       "2001    628781.8    767462.13\n",
       "2002    613833.6    773963.28\n",
       "2003    627584.6    790649.66\n",
       "2004    633973.2    822053.17\n",
       "2005    633973.2    823473.56\n",
       "2006    623063.6    829919.47\n",
       "2007    615083.2    821888.66\n",
       "2008    600148.8    761409.50\n",
       "2009    545275.8    679445.00\n",
       "2010    563003.8    706642.76\n",
       "2011    524184.4    662544.66\n",
       "2012    537302.9    685668.02\n",
       "2013    524550.2    686403.76\n",
       "2014    488331.9    652693.00"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.zeros((15,2))\n",
    "years = range(2000,2015)\n",
    "count = 0\n",
    "for count, yr in enumerate(years):\n",
    "    industry_emissions = np.sum(np.sum(f[yr].loc[:,'GBR Crop and animal production, hunting and related service activities':'GBR Activities of extraterritorial organizations and bodies'],0),0)\n",
    "    hhold_direct = np.sum(fhh[yr].loc['GBR'],0)\n",
    "    data[count,0] = industry_emissions + hhold_direct\n",
    "UK_emissions = pd.DataFrame(data,index = years,columns=['Production','Consumption'])\n",
    "UK_emissions['Consumption'] = UK_foot\n",
    "UK_emissions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try plotting a line graph of the UK's production and consumption emissions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'kilotonnes CO2')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = UK_emissions.plot( kind = 'line')\n",
    "chart.set_ylabel('kilotonnes CO2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1.6 Comparing the consumption-based emissions of all the regions in WIOD\n",
    "\n",
    "Can you use the ```total_footprint_calc``` function to put the footprint of each of the 30 regions, for the year 2014, into a dataframe called region_foot?\n",
    "\n",
    "You will need to change the size of 'data' and make a variable called 'regions' which contains the country codes. \n",
    "\n",
    "Do this by\n",
    "\n",
    "```python\n",
    "data = np.zeros((30,1))\n",
    "regions = Y[2014].columns\n",
    "```\n",
    "\n",
    "Think carefully about how you will change the set up of the for-loop:\n",
    "\n",
    "```python\n",
    "for count, yr in enumerate(years):\n",
    "```\n",
    "\n",
    "What will you use instead of ```yr``` in ```years```?\n",
    "\n",
    "Think carefully about how you will change ```y_region```. What will you use instead of:\n",
    "\n",
    "```python\n",
    "Y[yr].loc[:,'GBR']\n",
    "```\n",
    "\n",
    "Remember to change both ```yr``` and ```'GBR'```\n",
    "    \n",
    "your last two lines should be:\n",
    "\n",
    "```python\n",
    "region_foot = pd.DataFrame(data,index = regions)\n",
    "region_foot\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUT\n",
      "AUS\n",
      "BEL\n",
      "BGR\n",
      "BRA\n",
      "CAN\n",
      "CHN\n",
      "DEU\n",
      "ESP\n",
      "FRA\n",
      "GBR\n",
      "HUN\n",
      "IDN\n",
      "IND\n",
      "IRL\n",
      "ITA\n",
      "JPN\n",
      "KOR\n",
      "MEX\n",
      "NLD\n",
      "NOR\n",
      "POL\n",
      "PRT\n",
      "ROU\n",
      "RUS\n",
      "TUR\n",
      "TWN\n",
      "USA\n",
      "REU\n",
      "RoW\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUT</th>\n",
       "      <td>2.11e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUS</th>\n",
       "      <td>2.76e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEL</th>\n",
       "      <td>1.41e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BGR</th>\n",
       "      <td>3.73e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRA</th>\n",
       "      <td>6.56e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAN</th>\n",
       "      <td>5.71e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHN</th>\n",
       "      <td>9.20e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEU</th>\n",
       "      <td>9.75e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESP</th>\n",
       "      <td>3.02e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRA</th>\n",
       "      <td>5.03e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GBR</th>\n",
       "      <td>6.53e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUN</th>\n",
       "      <td>5.28e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDN</th>\n",
       "      <td>5.81e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IND</th>\n",
       "      <td>2.04e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IRL</th>\n",
       "      <td>5.37e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ITA</th>\n",
       "      <td>4.50e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPN</th>\n",
       "      <td>1.41e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KOR</th>\n",
       "      <td>6.09e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEX</th>\n",
       "      <td>5.14e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NLD</th>\n",
       "      <td>1.84e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOR</th>\n",
       "      <td>5.96e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POL</th>\n",
       "      <td>2.94e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRT</th>\n",
       "      <td>5.86e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROU</th>\n",
       "      <td>8.65e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RUS</th>\n",
       "      <td>1.33e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TUR</th>\n",
       "      <td>3.70e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TWN</th>\n",
       "      <td>2.31e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>6.10e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>REU</th>\n",
       "      <td>6.39e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW</th>\n",
       "      <td>7.93e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            0\n",
       "AUT  2.11e+05\n",
       "AUS  2.76e+05\n",
       "BEL  1.41e+05\n",
       "BGR  3.73e+04\n",
       "BRA  6.56e+05\n",
       "CAN  5.71e+05\n",
       "CHN  9.20e+06\n",
       "DEU  9.75e+05\n",
       "ESP  3.02e+05\n",
       "FRA  5.03e+05\n",
       "GBR  6.53e+05\n",
       "HUN  5.28e+04\n",
       "IDN  5.81e+05\n",
       "IND  2.04e+06\n",
       "IRL  5.37e+04\n",
       "ITA  4.50e+05\n",
       "JPN  1.41e+06\n",
       "KOR  6.09e+05\n",
       "MEX  5.14e+05\n",
       "NLD  1.84e+05\n",
       "NOR  5.96e+04\n",
       "POL  2.94e+05\n",
       "PRT  5.86e+04\n",
       "ROU  8.65e+04\n",
       "RUS  1.33e+06\n",
       "TUR  3.70e+05\n",
       "TWN  2.31e+05\n",
       "USA  6.10e+06\n",
       "REU  6.39e+05\n",
       "RoW  7.93e+06"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.zeros((30,1))\n",
    "regions = Y[2014].columns\n",
    "count = 0\n",
    "for count, reg in enumerate(regions):\n",
    "    print(reg)\n",
    "    data[count,0] = total_footprint_calc2(Z[yr],Y[yr],Y[yr].loc[:,reg],f[yr],fhh[yr].loc[reg])\n",
    "region_foot = pd.DataFrame(data,index = regions)\n",
    "region_foot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now try\n",
    "```python\n",
    "chart = region_foot.plot( kind = 'bar')\n",
    "chart.set_ylabel('kilotonnes CO2')\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'kilotonnes CO2')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = region_foot.plot( kind = 'bar')\n",
    "chart.set_ylabel('kilotonnes CO2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1.7 Comparing the production- and consumption-based emissions of all the regions in WIOD\n",
    "\n",
    "Try writing code that will generate a dataframe showing production- and consumption-based emissions for the year 2014 for each country in the WIOD database.\n",
    "\n",
    "The tricky bit here is the labels for the industrial emissions. For the first country, you would want to find the sum of numbers between 'AUS Agriculture, Hunting, Forestry and Fishing' and 'AUS Private Households with Employed Persons'. Then for the second country, this is the sum of numbers between 'AUT Agriculture, Hunting, Forestry and Fishing' and 'AUT Private Households with Employed Persons'.\n",
    "\n",
    "We can use the ```reg``` variable to help here.\n",
    "\n",
    "The key line of code is:\n",
    "\n",
    "```python\n",
    "industry_emissions = np.sum(np.sum(f[2014].loc[:,reg+' Crop and animal production, hunting and related service activities':reg+' Activities of extraterritorial organizations and bodies'],0),0)\n",
    "```\n",
    "    \n",
    "Notice how reg+ is used.\n",
    "\n",
    "Try and write the complete set of code to make the new 'region_emissions' dataframe with two columns (production and consumption) rather than one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Production</th>\n",
       "      <th>Consumption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUT</th>\n",
       "      <td>5.73e+04</td>\n",
       "      <td>2.11e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUS</th>\n",
       "      <td>4.05e+05</td>\n",
       "      <td>2.76e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEL</th>\n",
       "      <td>9.76e+04</td>\n",
       "      <td>1.41e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BGR</th>\n",
       "      <td>4.51e+04</td>\n",
       "      <td>3.73e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRA</th>\n",
       "      <td>5.72e+05</td>\n",
       "      <td>6.56e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAN</th>\n",
       "      <td>5.77e+05</td>\n",
       "      <td>5.71e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHN</th>\n",
       "      <td>1.05e+07</td>\n",
       "      <td>9.20e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEU</th>\n",
       "      <td>8.55e+05</td>\n",
       "      <td>9.75e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESP</th>\n",
       "      <td>2.70e+05</td>\n",
       "      <td>3.02e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRA</th>\n",
       "      <td>3.46e+05</td>\n",
       "      <td>5.03e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GBR</th>\n",
       "      <td>4.88e+05</td>\n",
       "      <td>6.53e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUN</th>\n",
       "      <td>4.76e+04</td>\n",
       "      <td>5.28e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDN</th>\n",
       "      <td>5.43e+05</td>\n",
       "      <td>5.81e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IND</th>\n",
       "      <td>2.20e+06</td>\n",
       "      <td>2.04e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IRL</th>\n",
       "      <td>4.41e+04</td>\n",
       "      <td>5.37e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ITA</th>\n",
       "      <td>3.57e+05</td>\n",
       "      <td>4.50e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JPN</th>\n",
       "      <td>1.25e+06</td>\n",
       "      <td>1.41e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KOR</th>\n",
       "      <td>6.70e+05</td>\n",
       "      <td>6.09e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEX</th>\n",
       "      <td>4.89e+05</td>\n",
       "      <td>5.14e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NLD</th>\n",
       "      <td>1.79e+05</td>\n",
       "      <td>1.84e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOR</th>\n",
       "      <td>5.11e+04</td>\n",
       "      <td>5.96e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POL</th>\n",
       "      <td>3.16e+05</td>\n",
       "      <td>2.94e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRT</th>\n",
       "      <td>4.94e+04</td>\n",
       "      <td>5.86e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROU</th>\n",
       "      <td>8.02e+04</td>\n",
       "      <td>8.65e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RUS</th>\n",
       "      <td>1.72e+06</td>\n",
       "      <td>1.33e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TUR</th>\n",
       "      <td>3.58e+05</td>\n",
       "      <td>3.70e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TWN</th>\n",
       "      <td>3.15e+05</td>\n",
       "      <td>2.31e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>5.26e+06</td>\n",
       "      <td>6.10e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>REU</th>\n",
       "      <td>5.23e+05</td>\n",
       "      <td>6.39e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoW</th>\n",
       "      <td>7.84e+06</td>\n",
       "      <td>7.93e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Production  Consumption\n",
       "AUT    5.73e+04     2.11e+05\n",
       "AUS    4.05e+05     2.76e+05\n",
       "BEL    9.76e+04     1.41e+05\n",
       "BGR    4.51e+04     3.73e+04\n",
       "BRA    5.72e+05     6.56e+05\n",
       "CAN    5.77e+05     5.71e+05\n",
       "CHN    1.05e+07     9.20e+06\n",
       "DEU    8.55e+05     9.75e+05\n",
       "ESP    2.70e+05     3.02e+05\n",
       "FRA    3.46e+05     5.03e+05\n",
       "GBR    4.88e+05     6.53e+05\n",
       "HUN    4.76e+04     5.28e+04\n",
       "IDN    5.43e+05     5.81e+05\n",
       "IND    2.20e+06     2.04e+06\n",
       "IRL    4.41e+04     5.37e+04\n",
       "ITA    3.57e+05     4.50e+05\n",
       "JPN    1.25e+06     1.41e+06\n",
       "KOR    6.70e+05     6.09e+05\n",
       "MEX    4.89e+05     5.14e+05\n",
       "NLD    1.79e+05     1.84e+05\n",
       "NOR    5.11e+04     5.96e+04\n",
       "POL    3.16e+05     2.94e+05\n",
       "PRT    4.94e+04     5.86e+04\n",
       "ROU    8.02e+04     8.65e+04\n",
       "RUS    1.72e+06     1.33e+06\n",
       "TUR    3.58e+05     3.70e+05\n",
       "TWN    3.15e+05     2.31e+05\n",
       "USA    5.26e+06     6.10e+06\n",
       "REU    5.23e+05     6.39e+05\n",
       "RoW    7.84e+06     7.93e+06"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.zeros((30,2))\n",
    "years = range(2000,2015)\n",
    "count = 0\n",
    "for count, reg in enumerate(regions):\n",
    "    industry_emissions = np.sum(np.sum(f[2014].loc[:,reg+' Crop and animal production, hunting and related service activities':reg+' Activities of extraterritorial organizations and bodies'],0),0)\n",
    "    hhold_direct = np.sum(fhh[yr].loc[reg],0)\n",
    "    data[count,0] = industry_emissions + hhold_direct\n",
    "region_emissions = pd.DataFrame(data,index = regions,columns=['Production','Consumption'])\n",
    "region_emissions['Consumption'] = region_foot\n",
    "region_emissions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Can you generate this chart?\n",
    "\n",
    "<img src=\"https://github.com/earao/images/blob/main/Screenshot%202023-12-22%20at%2015.31.18.png?raw=true\" width = 500, height = 500/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'kilotonnes CO2')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = region_emissions.plot( kind = 'bar')\n",
    "chart.set_ylabel('kilotonnes CO2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2.1 Setting up a series of scenarios to model the effect of Brexit on the UK's consumption-based emissions\n",
    "\n",
    "In this set of exercises we are going to model five different futures for the United Kingdom:\n",
    "\n",
    "Option A - is a business as usual scenario where in 2030, the UK looks the same as it did in 2014\n",
    "\n",
    "Option B - demonstrates economic growth after brexit and the UK's final demand is at 2007 levels\n",
    "\n",
    "Option C - is a new trade deal scenario where the UK buys fewer goods from Germany and France and doubles trade with China\n",
    "\n",
    "Option D - is a green new deal scenario where the UK decarbonises its power sector \n",
    "\n",
    "Option E - is a global green new deal scenario where the UK sells its power technology to China\n",
    "\n",
    "We will generate a function which, when passed the parameters ```Z```,```Y```,```y_region```,```f``` and ```fhh``` will return a dataframe which shows the UK total footprint, the consumption emissions that are emitted domestically and the consumption emissions that are emitted abroad (the imported emissions).\n",
    "\n",
    "Paste the following code into the box below:\n",
    "\n",
    "```python\n",
    "def scenario_footprint_calc(Z,Y,y_region,f,fhh):\n",
    "    data = np.zeros((3,1))\n",
    "    x = np.sum(Z,1) + np.sum(Y,1)\n",
    "    x[x==0] = 0.000000001\n",
    "    big_X = np.tile(np.transpose(x),[1435,1])\n",
    "    A = Z/big_X \n",
    "    L = np.linalg.inv(np.identity(1435)-A)\n",
    "    e = f/x \n",
    "    eL = np.dot(e,L)\n",
    "    temp = np.dot(np.dot(np.diagflat(e.values),L),np.diag(y_region))\n",
    "    footprint_full = pd.DataFrame(temp,index = Z.index,columns=Y.index)\n",
    "    hhold_direct = np.sum(fhh,0)\n",
    "    data[0,0] = np.sum(np.sum(footprint_full,0),0)+hhold_direct\n",
    "    data[1,0] = np.sum(np.sum(footprint_full.loc['GBR Crop and animal production, hunting and related service activities':'GBR Activities of extraterritorial organizations and bodies',:],0),0)+hhold_direct\n",
    "    data[2,0] = data[0,0]-data[1,0]\n",
    "    \n",
    "    scenario = pd.DataFrame(data,index=(['Total Footprint','Domestic emissions','Imported emissions']))\n",
    "    \n",
    "    return scenario\n",
    "```\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def scenario_footprint_calc(Z,Y,y_region,f,fhh):\n",
    "    data = np.zeros((3,1))\n",
    "    x = np.sum(Z,1) + np.sum(Y,1)\n",
    "    x[x==0] = 0.000000001\n",
    "    big_X = np.tile(np.transpose(x),[1680,1])\n",
    "    A = Z/big_X \n",
    "    L = np.linalg.inv(np.identity(1680)-A)\n",
    "    e = f/x \n",
    "    eL = np.dot(e,L)\n",
    "    temp = np.dot(np.dot(np.diagflat(e.values),L),np.diag(y_region))\n",
    "    footprint_full = pd.DataFrame(temp,index = Z.index,columns=Y.index)\n",
    "    hhold_direct = np.sum(fhh,0)\n",
    "    data[0,0] = np.sum(np.sum(footprint_full,0),0)+hhold_direct\n",
    "    data[1,0] = np.sum(np.sum(footprint_full.loc['GBR Crop and animal production, hunting and related service activities':'GBR Activities of extraterritorial organizations and bodies',:],0),0)+hhold_direct\n",
    "    data[2,0] = data[0,0]-data[1,0]\n",
    "    \n",
    "    scenario = pd.DataFrame(data,index=(['Total Footprint','Domestic emissions','Imported emissions']))\n",
    "    \n",
    "    return scenario"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most of this code should be familiar to you now. But let's look at the lines which populate the variable ```data``` a little more closely.\n",
    "\n",
    "The first item in data ```(data[0,0])``` is the total footprint. This is calculated by finding the sum of the entire result matrix which is called ```footprint_full```. Remember this is a matrix with the row headings as the source industries and the column headings as the final products. We also add on the UK emissions from households burning fuel themselves.\n",
    "\n",
    "The second item in data ```(data[1,0])``` is the domestic emissions. Here we are looking to add up the emissions that are emitted in the UK to meet UK demand. These must be those that are sourced in the UK. Notice that the code looks for the rows that start with 'GBR', but takes every column (using the : symbol). We also add on the UK emissions from households burning fuel themselves because these have to be domestic emissions emitted within the UK boundary.\n",
    "\n",
    "The third item in data ```(data[2,0])``` is the imported emissions. This is simply going to be the difference between the total footprint and the domestic emissions.\n",
    "\n",
    "## Exercise 2.2 Scenario A - business as usual\n",
    "\n",
    "Try this\n",
    "\n",
    "```python\n",
    "ScenarioA = scenario_footprint_calc(Z[2014],Y[2014],Y[2014].loc[:,'GBR'],f[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioA\n",
    "```\n",
    "    \n",
    "to generate a dataframe of results for Scenario A. Inside the ```()``` note that you have passed the parameters ```Z,Y,y_region,f``` and ```fhh```  for the year 2009 and ```y_region``` refers to the UK.\n",
    "\n",
    "Retyping ```ScenarioA``` allows us to look at the result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>652693.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>375799.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>276893.36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            0\n",
       "Total Footprint     652693.00\n",
       "Domestic emissions  375799.64\n",
       "Imported emissions  276893.36"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScenarioA = scenario_footprint_calc(Z[2014],Y[2014],Y[2014].loc[:,'GBR'],f[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2.3 Scenario B - economic growth\n",
    "\n",
    "Use the format\n",
    "```python\n",
    "ScenarioB = scenario_footprint_calc()\n",
    "ScenarioB\n",
    "```\n",
    "    \n",
    "to generate a dataframe of results for Scenario B. In this case, keep  ```Z[2014]```,```Y[2014]```,```f[2014]``` and ```fhh[2014]``` but look at the effect of the UK spend being at 2007 (the highest) levels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>670435.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>394419.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>276016.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            0\n",
       "Total Footprint     670435.20\n",
       "Domestic emissions  394419.06\n",
       "Imported emissions  276016.14"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScenarioB = scenario_footprint_calc(Z[2014],Y[2014],Y[2007].loc[:,'GBR'],f[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2.4 Scenario C - growth and a new trade deal\n",
    "\n",
    "In this scenario, the UK has 2007 levels of spend but imports from different places. We create a new ```y_region``` parameter by making a copy of ```Y``` and editing it. First try:\n",
    "\n",
    "```python\n",
    "    YC = copy.deepcopy(Y)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "YC = copy.deepcopy(Y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the 2007 layer of ```YC``` we want the UK to spend differently on products from Germany (half of original), France (half of original) and China (double of original)\n",
    "\n",
    "To edit ```YC``` for the UK's spend on German goods in 2007, we use:\n",
    "\n",
    "```python\n",
    "    YC[2007].loc['DEU Crop and animal production, hunting and related service activities':'DEU Activities of extraterritorial organizations and bodies','GBR'] = Y[2007].loc['DEU Crop and animal production, hunting and related service activities':'DEU Activities of extraterritorial organizations and bodies','GBR']*0.5\n",
    "```\n",
    "    \n",
    "Notice how you are identifying the cells in the UK column but the rows for Germany.\n",
    "\n",
    "Can you follow this format to change the spend on French goods (FRA) to half the 2009 spend and the spend on Chinese goods (CHN) to double the 2009 spend? Don't forget to also include the German line of code from above!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "YC[2007].loc['DEU Crop and animal production, hunting and related service activities':'DEU Activities of extraterritorial organizations and bodies','GBR'] = Y[2007].loc['DEU Crop and animal production, hunting and related service activities':'DEU Activities of extraterritorial organizations and bodies','GBR']*0.5\n",
    "YC[2007].loc['FRA Crop and animal production, hunting and related service activities':'FRA Activities of extraterritorial organizations and bodies','GBR'] = Y[2007].loc['FRA Crop and animal production, hunting and related service activities':'FRA Activities of extraterritorial organizations and bodies','GBR']*0.5\n",
    "YC[2007].loc['CHN Crop and animal production, hunting and related service activities':'CHN Activities of extraterritorial organizations and bodies','GBR'] = Y[2007].loc['CHN Crop and animal production, hunting and related service activities':'CHN Activities of extraterritorial organizations and bodies','GBR']*2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run Scenario C using your new version of ```YC``` for the ```y_region``` parameter:\n",
    "\n",
    "```python\n",
    "ScenarioC = scenario_footprint_calc(Z[2014],Y[2014],YC[2007].loc[:,'GBR'],f[2014],fhh[2014].loc['GBR')\n",
    "ScenarioC\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>681402.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>394308.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>287093.68</td>\n",
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       "                            0\n",
       "Total Footprint     681402.35\n",
       "Domestic emissions  394308.68\n",
       "Imported emissions  287093.68"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScenarioC = scenario_footprint_calc(Z[2014],Y[2014],YC[2007].loc[:,'GBR'],f[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should have found that compared to Scenario B, the new trade deal increases emissions.\n",
    "\n",
    "Interestingly, domestic emissions reduce slightly. This is because there are a small amount of UK emissions that make up the supply chain of goods that we import. These are reimported emissions! And we trade a lot with the France and Germany so reducing this trade means that UK industries don't need to make as many parts that are used in the production of the French and German goods that are bought by the UK.\n",
    "\n",
    "Clearly there are issues with the realism of our scenarios. We don't know if this simple switch is replacing like for like goods. You can try a more detailed change in the UK final demand vector another time.\n",
    "\n",
    "## Exercise 2.5 Scenario D - green new deal\n",
    "\n",
    "In this scenario we will reduce the industrial emissions associated with the ```Electricity, gas, steam and air conditioning supply``` sector to zero.\n",
    "\n",
    "To do this, make a deep copy of ```f```, call it ```fD```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "fD = copy.deepcopy(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next locate ```GBR Electricity, gas, steam and air conditioning supply``` for the year 2014 in your new ```fD``` and make it equal zero.\n",
    "\n",
    "Try\n",
    "```python\n",
    "fD[2014]['GBR Electricity, gas, steam and air conditioning supply']=0\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "fD[2014]['GBR Electricity, gas, steam and air conditioning supply']=0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now create ```ScenarioD``` which uses ```fD[2014]``` and the rest are all at the 2014 levels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>548188.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>271294.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>276893.36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            0\n",
       "Total Footprint     548188.07\n",
       "Domestic emissions  271294.71\n",
       "Imported emissions  276893.36"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScenarioD = scenario_footprint_calc(Z[2014],Y[2014],Y[2014].loc[:,'GBR'],fD[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare your results to Scenario A. You should find a large reduction in the emissions sourced from the UK but no change to the imported emissions.\n",
    "\n",
    "## Exercise 2.6 Scenario E - global green new deal\n",
    "\n",
    "In this scenario we will reduce the industrial emissions associated with China's Electricity, Gas and Water Supply sector to the level of UK's sector from Scenario D.\n",
    "\n",
    "Try coding this. Remember that ```fE``` is a deepcopy of ```fD``` and the country code for China is ```CHN```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "fE = copy.deepcopy(fD)\n",
    "fE[2014]['CHN Electricity, gas, steam and air conditioning supply']=0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create ```ScenarioE```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>524711.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>271294.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>253416.84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            0\n",
       "Total Footprint     524711.56\n",
       "Domestic emissions  271294.71\n",
       "Imported emissions  253416.84"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScenarioE = scenario_footprint_calc(Z[2014],Y[2014],Y[2014].loc[:,'GBR'],fE[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you should find domestic emissions to be the same level as Scenario D but imports have reduced."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2.7 Scenario F - new trade deal and a global new deal\n",
    "\n",
    "Now use ```YC[2007]``` and ```fE[2014]``` to create a final scenario which changes both the final demand levels in the UK and alters the industrial emissions intensity. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>590405.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>263090.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>327315.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            0\n",
       "Total Footprint     590405.49\n",
       "Domestic emissions  263090.31\n",
       "Imported emissions  327315.18"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScenarioF = scenario_footprint_calc(Z[2014],YC[2007],Y[2014].loc[:,'GBR'],fE[2014],fhh[2014].loc['GBR'])\n",
    "ScenarioF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Excercise 2.8 Consolidate the scenarios into one data frame and make a new row for percent change\n",
    "\n",
    "Let's put all the scenario data into a single dataframe. To do this, we can use the ```concat``` function. We need to list the names of the dataframes we want to combine together and tell python what dimension (axis) to combine them in. If we use 0, they will be put into a long vertical list. If we use 1 they will be lined up horizontally.\n",
    "\n",
    "Try\n",
    "\n",
    "```python\n",
    "scenarios = pd.concat([ScenarioA,ScenarioB,ScenarioC,ScenarioD,ScenarioE,ScenarioF],axis=1)\n",
    "scenarios.columns = ['Scenario A','Scenario B','Scenario C','Scenario D','Scenario E','Scenario F']\n",
    "scenarios\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Scenario A</th>\n",
       "      <th>Scenario B</th>\n",
       "      <th>Scenario C</th>\n",
       "      <th>Scenario D</th>\n",
       "      <th>Scenario E</th>\n",
       "      <th>Scenario F</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>652693.00</td>\n",
       "      <td>670435.20</td>\n",
       "      <td>681402.35</td>\n",
       "      <td>548188.07</td>\n",
       "      <td>524711.56</td>\n",
       "      <td>590405.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>375799.64</td>\n",
       "      <td>394419.06</td>\n",
       "      <td>394308.68</td>\n",
       "      <td>271294.71</td>\n",
       "      <td>271294.71</td>\n",
       "      <td>263090.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>276893.36</td>\n",
       "      <td>276016.14</td>\n",
       "      <td>287093.68</td>\n",
       "      <td>276893.36</td>\n",
       "      <td>253416.84</td>\n",
       "      <td>327315.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Scenario A  Scenario B  Scenario C  Scenario D  \\\n",
       "Total Footprint      652693.00   670435.20   681402.35   548188.07   \n",
       "Domestic emissions   375799.64   394419.06   394308.68   271294.71   \n",
       "Imported emissions   276893.36   276016.14   287093.68   276893.36   \n",
       "\n",
       "                    Scenario E  Scenario F  \n",
       "Total Footprint      524711.56   590405.49  \n",
       "Domestic emissions   271294.71   263090.31  \n",
       "Imported emissions   253416.84   327315.18  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scenarios = pd.concat([ScenarioA,ScenarioB,ScenarioC,ScenarioD,ScenarioE,ScenarioF],axis=1)\n",
    "scenarios.columns = ['Scenario A','Scenario B','Scenario C','Scenario D','Scenario E','Scenario F']\n",
    "scenarios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets calculate the percentage change from 2014 as a new line in our dataframe.\n",
    "\n",
    "Try\n",
    "\n",
    "```python\n",
    "scenarios.loc['Percent change from 2014'] = scenarios.loc['Total Footprint']/scenarios.loc['Total Footprint','Scenario A']*100-100\n",
    "scenarios\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Scenario A</th>\n",
       "      <th>Scenario B</th>\n",
       "      <th>Scenario C</th>\n",
       "      <th>Scenario D</th>\n",
       "      <th>Scenario E</th>\n",
       "      <th>Scenario F</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total Footprint</th>\n",
       "      <td>652693.00</td>\n",
       "      <td>670435.20</td>\n",
       "      <td>681402.35</td>\n",
       "      <td>548188.07</td>\n",
       "      <td>524711.56</td>\n",
       "      <td>590405.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domestic emissions</th>\n",
       "      <td>375799.64</td>\n",
       "      <td>394419.06</td>\n",
       "      <td>394308.68</td>\n",
       "      <td>271294.71</td>\n",
       "      <td>271294.71</td>\n",
       "      <td>263090.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imported emissions</th>\n",
       "      <td>276893.36</td>\n",
       "      <td>276016.14</td>\n",
       "      <td>287093.68</td>\n",
       "      <td>276893.36</td>\n",
       "      <td>253416.84</td>\n",
       "      <td>327315.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent change from 2014</th>\n",
       "      <td>0.00</td>\n",
       "      <td>2.72</td>\n",
       "      <td>4.40</td>\n",
       "      <td>-16.01</td>\n",
       "      <td>-19.61</td>\n",
       "      <td>-9.54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Scenario A  Scenario B  Scenario C  Scenario D  \\\n",
       "Total Footprint            652693.00   670435.20   681402.35   548188.07   \n",
       "Domestic emissions         375799.64   394419.06   394308.68   271294.71   \n",
       "Imported emissions         276893.36   276016.14   287093.68   276893.36   \n",
       "Percent change from 2014        0.00        2.72        4.40      -16.01   \n",
       "\n",
       "                          Scenario E  Scenario F  \n",
       "Total Footprint            524711.56   590405.49  \n",
       "Domestic emissions         271294.71   263090.31  \n",
       "Imported emissions         253416.84   327315.18  \n",
       "Percent change from 2014      -19.61       -9.54  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scenarios.loc['Percent change from 2014'] = scenarios.loc['Total Footprint']/scenarios.loc['Total Footprint','Scenario A']*100-100\n",
    "scenarios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which scenario brings about the greatest increase in emissions?\n",
    "\n",
    "Which scenario reduces emissions by the most?\n",
    "\n",
    "Can you try to reproduce the two charts below?\n",
    "\n",
    "<img src=\"https://github.com/earao/images/blob/main/Screenshot%202023-12-22%20at%2015.33.28.png?raw=true\" width=500 height=500 />\n",
    "\n",
    "<img src=\"https://github.com/earao/images/blob/main/Screenshot%202023-12-22%20at%2015.34.40.png?raw=true\" width=500 height=500/>\n",
    "\n",
    "HINT 1: The command ```np.transpose``` will transpose your table (make the rows become columns).\n",
    "\n",
    "HINT 2: Think about how to isolate the parts of the table you want to show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'kilotonnes CO2')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = np.transpose(scenarios.loc['Domestic emissions':'Imported emissions']).plot(kind='bar', stacked=True)\n",
    "chart.set_ylabel('kilotonnes CO2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'percent change from 2014')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart = scenarios.loc['Percent change from 2014'].plot(kind='line')\n",
    "chart.set_ylabel('percent change from 2014')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Key learning points\n",
    "You should have learnt:\n",
    "<ol>\n",
    "<li>How to load data into python from a csv file</li>\n",
    "<li>How to update variable names in a for loop e.g. load files for different years</li>\n",
    "<li>How to calculate consumption and production acounts from the WIOD database for different years and different countries</li>\n",
    "<li>How set up a simple scenario that changes industrial emissions intensities and final demand spends</li>\n",
    "<li>How to interpret the results of your scenario</li>\n",
    "   \n",
    "</ol>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
